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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet. Job Profile Name: Res. Assistant Professor Job Code: JP3_24102 Job Family Group: Research FLSA Status: Exempt Job Family: Researchers Career Level: P4 Created/Revision Date: 8/1/2017, 1/1/2024 Grade: CORE JOB SUMMARY The Research Assistant Professor, SOM (A) carries out a particular research agenda in support of the University's research goals and objectives. Moreover, the Research Assistant professor, SOM (A) contributes to the scientific community by publishing research findings and promotes the University's reputation as a leader in the field. CORE JOB FUNCTIONS Contributes to basic and applied research activities and authors scientific publications, technical and agency reports, and patent preparations. Collaborates with senior staff to publish findings in refereed journals. Creates and conducts experiments and analyzes results. Works with other researchers to use and develop end products. Writes extramural proposals with approval from appropriate senior staff. Provides ready access to all experimental data for managing staff. Requests or acquires equipment and supplies for assigned project(s). Uses the internet, surveys, legal documents, and other available sources to collect information. Applies for grants to continue research and prepares materials for submission to granting agencies and foundations. Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS Education: Ph.D., M.D. or other doctoral level degree relevant field Certification and Licensing: Not Applicable Experience: Minimum 1 year of relevant experience Knowledge, Skills and Attitudes: Skill in collecting, organizing, and analyzing data. Ability to recognize, analyze, and solve a variety of problems. Ability to exercise sound judgment in making critical decisions. DEPARTMENT ADDENDUM Department Specific Functions The Department of Informatics and Health Data Science (DIHDS), Media Innovation Lab (MIL) at the University of Miami is ushering in a new age of healthcare investigation, innovation, and improvement by breaking down the artificial barriers that separate discovery, development, and deployment of new solutions. Investigators at The MIL are reimagining and harnessing technologies available today, while inventing the solutions of tomorrow and are aspiring to create a legacy of insight and impact and to be a trusted voice in digital health, technology and transformation. The Research Assistant Professor will serve as the MIL site expert in bioinformatics setting the strategic vision for the group, leading the development of data analysis approaches, and implementing bioinformatics methodologies to support the needs of the DIHDS/MIL research team. Faculty members in the Department of Informatics and Health Data Science and The Media and Innovation Lab are required to actively support the department chair and lead research, educational/mentorship, and service outreach, policy and ethical initiatives related to informatics, digital technology, and health data science. Candidate must possess a strong computational and quantitative biology background that includes a broad understanding of key biological concepts and have significant experience in software and database engineering enabling an integrated understanding of biological data analysis as it relates to underlying biological processes. An extensive experience with the analysis of large data sets generated by next generation sequencing is encouraged. We prefer candidates with a strong record of accomplishments in bioinformatics, including but not limited to a proven track record of developing innovative tools and applications for computational biology, providing bioinformatics support for complex research projects involving multidisciplinary scientific teams, and a strong publication record in bioinformatics and computational biology. Qualification for this position requires demonstrated expertise in designing and developing software, databases, and interfaces for analyzing and manipulating research data applications including expertise with simple programming using Perl/Python or Java, statistical programming, web-development, and database query through SQL. This role collaborates with researchers to develop high throughput data processing and analysis capability. Directs and guides database searches and the computational analysis of resulting data. May assist in grant and other funding applications, as necessary and appropriate. Demonstrated ability to function as part of a team. Performs other responsibilities as required. This distribution of effort may change in future years based on your interests, department needs, and your success in obtaining extramural grant funding. Department Specific Qualifications Education: PhD in a mechanical engineering, quantitative/computational field including computer science, software engineering, bioinformatics, mathematics, human/statistical genetics, neuroimaging, or a related field (with an emphasis on data science or statistical analyses of human subjects' datasets). Certification and Licensing: Type Here Experience: Type Here Knowledge, Skills and Attitudes: Type Here PHYSICAL REQUIREMENTS/ WORKING ENVIRONMENT The following sections capture the physical demands and working environment that are required for this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Working Conditions Environmental Dimension Never Occasionally Frequently Constantly Conditions of extreme heat or extreme cold x Wet/Humid conditions x Fumes/Dust/Dirt/Smoke x Confined areas x High places x Equipment in motion x High noise levels x Environmental hazards x Exposure to TB x Exposure to Blood-borne Pathogens x Exposure to Radiant Energy x Outdoor/Exposed areas x Equipment Used Equipment Used Never Occasionally Frequently Constantly Vehicle Type Operate vehicles (Select Vehicle) x Use hand tools x Use power tools x Physical Requirements Physical Dimension Never Occasionally Frequently Constantly Weight Sitting x Standing x Walking x Stooping/Climbing x Carrying x Kneeling x Crouching x Bending x Crawling x Reaching x Handling x Sensory Requirements Sensory Dimension Never Occasionally Frequently Constantly Vision Type Vision x Depth Perception x Color Vision x Peripheral x Concentration x Use of keyboard or touchscreen x Talking x Feeling x Smelling x The above statements are intended to describe the general nature and primary responsibilities of this job classification. Specific duties and tasks may vary based upon departmental needs. Other duties may be assigned to the above consistent with the knowledge, skills, and abilities required for the job. This is a job profile description and not all duties may be assigned to a specific position in each individual department. End of Job Description Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet. Job Status: Full time Employee Type: Faculty

Play an integral role in supporting modeling and data analysis, budget execution, and the FinOps needs of the business. Manage the creation and/or usage of large data sets, providing information-based decision logic and predictive modeling solutions, and translates modeling/analytic output into understandable/actionable business knowledge, insight and applications. Demonstrate strong technical/problem solving skills. Support multiple projects collaboratively. Key Responsibilities Identify, develop, and implement complex analytical solutions leveraging tools such as predictive modeling, advanced machine learning techniques, simulation, optimization solutions, and risk management purposes. Manage dataset creation including data extraction, derived and dependent variable creation, and data quality control processes for analytics, model development, and validation. May monitor execution of analytical solutions, including criteria specification, data sourcing, segmentation, analytics, selection, delivery, and back-end data capture results. Identify and execute targeting and optimization opportunities while consulting and coordinating execution with asset owners. Under direction of the Sr. Leader, collaborate with business leaders and/or analysts to provide analytical thought leadership and support for business problems. Identify and interpret business needs, define high-level business requirements, strategy, technical risks, and scope. Develop, document, and communicate business-driven analytic solutions and capabilities, translating modeling and analytic output into understandable and actionable business knowledge. Embed analytic programs and tools. Ensure continued accuracy, relevancy, and effectiveness and track process improvements once deployed. Ensure adherence to data and model governance standards that are set and enforced by industry standards and/or enterprise and business unit data governance polices and leaders. Contribute to ongoing expansion of data science expertise and credentials by keeping up with industry best practices, developing new skills, and knowledge sharing. Work cross functionally to develop standardized/automated solutions and adopt best practices. Required Qualifications Master degree or equivalent Quantitative Discipline (i.e. Finance, Statistics, Computer Science, Actuarial Science, Economics, Engineering, etc.) 5-7 years relevant experience required. Knowledge of advanced statistical concepts and techniques; skilled in linear algebra. Experience conducting hands-on analytics projects using advanced statistical methods such as generalized regression models, machine learning, clustering, or similar methodologies. Experience with statistical programming (SAS, R, Python, SQL etc.) & data visualization software in a data-rich environment. Proven ability to present/communicate complex, technical materials in a way that facilitates decision making and drives outcomes; ability to communicate to less technical partners. Proven ability to apply both strategic and analytic techniques to provide business solutions and recommendations. Ability to work effectively in a collaborative team environment. Preferred Qualifications 3+ years of experience in statistical modeling and the collating processes necessary to create modeling data. Experience with cloud services and big data technologies FinOps. Self-starter with the ability to work effectively in a matrix environment while (at times) working autonomously. Proven flexibility and adaptability in effectively driving results in an environment of changing priorities. Background in financial services. About Our Company We're a diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of 2024. With our team of more than 20,000 people in 20 countries, we advise, manage and protect assets and income of more than 3.5 million individual, small business and institutional clients. We are a longstanding leader in financial planning and advice, a global asset manager and an insurer. Our unwavering focus on our clients and strong financial foundation connects each of our unique businesses - Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities. Here, we foster meaningful careers, invest in the future, and make a difference for clients, institutions and communities around the world. Base Pay Salary The estimated base salary for this role is $107,000 - $144,000 a year. We have a pay-for-performance compensation philosophy. Your initial total compensation may vary based on job-related knowledge, skills, experience, and geographical work location. In addition, most of our roles are eligible for variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role. We also have a competitive and comprehensive benefits program that supports all aspects of your health and well-being, including but not limited to vacation time, sick time, 401(k), and health, dental and life insurances. Ameriprise Financial is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, genetic information, age, sexual orientation, citizenship, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law. Full-Time/Part-Time Full time Exempt/Non-Exempt Exempt Job Family Group Data Line of Business TECH Technology

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles. The Data Science & Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. As truth seekers and truth tellers, we relay what the data says without bias, even when inconvenient or difficult. We aim to improve decision-making quality and speed across the organization to enable a deeper understanding of our customers and products. We focus on efficient and effective analytic execution, positioning ourselves as the go-to experts with deep knowledge and expertise, constantly striving for better, faster insights from data. We're looking for a Manager, Data Science, Ads Ranking to join Snap Inc. What you'll do Lead a team of data scientists focused on optimizing ad ranking, auction dynamics, and marketplace efficiency to maximize advertiser value and Snapchatter experience Help build and manage a team of high performing data scientists and help them execute along the most important priorities and deliver world-class products Establishes a positive, mutually supporting, inclusive and fun team environment where every employee can do their best Work cross-functionally and partner with product managers, engineers, and researchers to to develop data-driven strategies that shape product direction Conduct in-depth analysis of all data sources, asking the right questions, testing hypotheses, identifying patterns and providing the necessary business context to translate what it all means Deliver on data science and analytics roadmap including continuous improvement, accurate and timely reporting and measurement Define and drive the data science roadmap for ad ranking, including model development, experimentation, actionable insights and measurement framework Build scalable methodologies for experimentation and causal inference to assess the impact of ranking changes and new product features Translate complex technical findings into actionable insights and strategic recommendations for leadership and cross-functional stakeholders Provide strategic direction, project clarity, methodological consultation and deliver results both individually and through managing a high performing team Knowledge, Skills, Abilities: Experience leading ads data science teams with an in-depth understanding of auction dynamics, pricing, ranking, pacing and ad load Understanding of statistical analysis, experience with packages, such as R, MATLAB, Stata, etc. Working knowledge of predictive modeling, machine learning, and experimentation/ causal inference methods Expertise in the data workflow and pipeline and lead a team responsible for data capture, measurement, and optimization capability management Expertise in SQL and familiarity with Python Excellent communication skills, with high attention to detail Ability to initiate and drive projects to completion with minimal guidance Ability to balance practical business needs and scientific rigor Industrial knowledge in ad ranking or recommendation systems Minimum Requirements BS/BA degree in statistics, mathematics, economics, computer science, engineering or related field or equivalent years of experience 7+ years of experience in quantitative analysis & data science or a related field 3+ years experience in a leadership role within a data organization Preferred qualifications Advanced degree in a quantitative field (Economics, Computer Science, Physics) Experience forming partnerships with cross-functional leaders in engineering, product, design, research, etc. Proven track record in transforming data into meaningful insights and opportunities to drive growth and performance. Experience in a product-focused role at a social media, online advertising, digital media and/or mobile technology company If you have a disability or special need that requires accommodation, please don't be shy and provide us some information. "Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable). Our Benefits: Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success! Compensation In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future. Zone A (CA, WA, NYC): The base salary range for this position is $229,000-$343,000 annually. Zone B: The base salary range for this position is $218,000-$326,000 annually. Zone C: The base salary range for this position is $195,000-$292,000 annually. This position is eligible for equity in the form of RSUs.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson & Johnson Innovative Medicine is recruiting for Senior Director, R&D Data Science & Digital Health, Real-World Evidence (RWE), Neuroscience The primary location for this position is flexible- Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA. J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/ The R&D Data Science & Digital Health, Real-World Evidence (RWE) team at J&J Innovative Medicine is dedicated to developing innovative evidence solutions and critical insights through diverse data sources including RWD, trial data and emerging innovative data sources to support clinical programs and regulatory submissions. This role will drive strategic collaborations, champion innovation, and elevate evidence development capabilities in Neuroscience. The successful candidate will lead a multidisciplinary team and manage internal and external partnerships, including collaborations within the R&D Data Science & Digital Health teams and across the R&D stakeholders, to deliver impactful evidence to enhance R&D success and patient impact. Other key responsibilities are as follows: Lead and mentor a high-performing team of RWE scientists to deliver end-to-end evidence generation-from data feasibility and study design to analysis and presentation. Shape and execute strategic RWE initiatives in neuroscience, aligning with R&D priorities. Drive internal and external partnerships to conceptualize and deliver advanced insights and evidence solutions. Develop shared tools and best practices to foster a scalable, data-driven culture. Provide thought leadership in advanced methodologies (e.g., comparative effectiveness, external control arms, Bayesian method). Advance capabilities in integrating multi-modal data to support precision medicine approaches. Required qualifications: Ph.D. or Master's in epidemiology, biostatistics, outcomes research, health policy, or related field. 10+ years of relevant experience in biopharma, RWE consulting, or healthcare industries. 7+ years of experience as a people manager. Proven expertise in data extraction, cleaning, and analysis; strong grasp of statistical methods to mitigate bias and confounding. Experience with diverse data sources (EHR, claims, registries, trial data, digital health). Strong communication skills, with the ability to effectively engage both technical and non-technical stakeholders. Proven leadership and influencing capabilities, with a track record of inspiring teams and driving cross-functional alignment. Highly motivated and intellectually curious, with strong executional rigor and a passion for solving complex challenges. Proficiency in R, Python, or SQL. Additional valued qualifications: Deep neuroscience domain expertise: in-depth knowledge of neurodegenerative, neuropsychiatric and ophthalmic diseases, clinical development, and trial design challenges Expertise in wearables & digital health technologies: developing and validating digital biomarkers, integrating wearables into clinical trials, designing clinical trials with decentralized elements Experience in multi-omics including designing and interpreting large-scale proteomic studies, analyzing data from large biobanks to identify causal drivers and clinical relevancy Experience integrating multi-modal data for holistic disease understanding and patient subtyping Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $173,000 to $299,000 Additional Description for Pay Transparency Employees and/or eligible dependents may be eligible to participate in the following: Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Employees are eligible for the following time off benefits: - Vacation - up to 120 hours per calendar year- Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington - up to 56 hours per calendar year- Holiday pay, including Floating Holidays - up to 13 days per calendar year- Work, Personal and Family Time - up to 40 hours per calendar year #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Preferred Skills: The anticipated base pay range for this position is : Additional Description for Pay Transparency:

Corcept is leading the way in the research and development of cortisol modulators, molecules that regulate cortisol activity at the glucocorticoid receptor (GR). To date, we have discovered more than 1,000 selective proprietary cortisol modulators. In 2012, we received FDA approval of Korlym (mifepristone), the first approved treatment for hypercortisolism (Cushing's syndrome). Today, our team and collaborators continue to unlock the possibilities of cortisol modulation as a way to treat serious diseases. With more than 30 ongoing studies across a wide range of disease areas, including endocrinology, oncology, metabolism, and neurology, we remain dedicated to advancing the possibilities of cortisol modulation. What began as a ripple of scientific truth is now poised to unleash a sea change of discovery representing a fundamental shift in the way we understand and treat disease. The Sr Director, Patient Safety & PV Science will report to the Head of Safety Science and is responsible for safety monitoring of assigned Corcept products (investigational and marketed), with core safety deliverables related to safety governance, signal detection/management, and periodic and aggregate reporting. This role demonstrates a high level of strategic thinking and may take on a SME role for one or more PSPV process. The Sr Director collaborates with PSPV team members to manage key safety surveillance activities, safety analyses, risk management and safety document deliverables. This role also engages and collaborates cross-functionally to execute on the corporate development strategy. This is a hybrid role, typically on-site three days/week in Redwood City, CA. Responsibilities: Safety Data Analysis & Signal Detection: Develop and maintain strategies for signal detection and risk management across clinical and post-marketing settings to monitor and define the safety profile for Corcept products Lead proactive safety data reviews and analyses using appropriate data sources, including case series reviews, data summaries and/or AE trend evaluations Collaborate with safety physicians on signal detection and risk management activities Review of medical and scientific literature to support signal detection and aggregate reporting Provide safety input to statistical analysis plans, data analysis visualizations, and documents requiring in-depth safety analysis to ensure consistent presentation of safety and risk management topics across regulatory document Safety Documentation & Reporting: Create and maintain product core safety information, including risk management plans (RMPs) and company core data sheets (CCDSs) Lead the preparation and development of global periodic aggregate safety reports Contribute to and review safety sections of clinical documents, including Investigator's brochure (IB), clinical study protocols, and clinical study reports Cross-Functional Collaboration: Facilitate cross-functional safety governance activities to ensure alignment of safety strategy and decision-making Establish and maintain collaborative relationships with senior stakeholders across functions to support the development and execution of product safety strategies Regulatory & External Engagement: Work closely with safety physicians and cross-functional stakeholders to present safety data and provide expertise during key meetings (e.g., Health Authorities, Data Safety Monitoring Boards, Investigators) Lead/contribute to health authority or other safety related query responses for Corcept products Leadership & Team Development: Coach and mentor team members in applying safety expertise across Corcept product development and lifecycle activities Oversee PV vendor performance and drive continuous process improvement Inspection Readiness: Serve as a subject matter expert (SME) for relevant PSPV Science processes Preferred Skills, Qualifications and Technical Proficiencies: Ability to work in a dynamic environment to meet corporate and patient needs Excellent working knowledge of Argus (or similar applications), MS Office applications, electronic data capture systems, and MedDRA and WHO Drug coding dictionaries Excellent presentation, communication, and collaboration skills In-depth knowledge of global PV regulations and guidelines (e.g., ICH, GVP, FDA, EMA) Demonstrated success in taking the initiative in a team setting. Comfortable with ambiguity yet self-motivated and timeline driven Preferred Education and Experience: MD, PhD, PharmD or other advanced degree in related discipline is preferred. Other relevant experience may be considered without an advanced degree; BS/BA degree in related discipline is required. Training or equivalent experience in epidemiology or public health is beneficial but not required 8+ years in patient safety and pharmacovigilance in the capacity of a scientist with a focus in the post-approval setting; at least 4 years of clinical development experience is required Related experience should include 2 or more years of supervisory/management experience in a matrix and geographically dispersed pharmaceutical/biotechnology organization Authoring and review of periodic and ad hoc safety reports (more than 5 years of experience required in safety or clinical documents such as PSURs, DSURs, Clinical Overviews, Clinical Study Reports or summaries) Strong medical science analytical reasoning skills with experience in the principles and techniques of data analysis, proficient in data analysis software and data presentation, interpretation, and relevance Experience in writing safety analysis, performing signal detection or safety surveillance, risk management and preparing responses to HA Working knowledge of industry standard pharmacovigilance data systems (e.g., Oracle Argus, data analytics, and signal management tools) Experience with NDA or MAA filing The pay range that the Company reasonably expects to pay for this headquarters-based position is $298,000-$315,000; the pay ultimately offered may vary based on legitimate considerations, including geographic location, job-related knowledge, skills, experience, and education. Applicants must be currently authorized to work in the United States on a full-time basis. For information on how Corcept collects, uses, discloses, protects, and otherwise processes personal information and an explanation of the rights and choices available to you with respect to your personal information, please refer to our Privacy Notice link. Corcept appreciates the commitment and hard work of all our team members as we strive to discover and develop novel treatments for patients with serious unmet medical needs. Please visit our website at: https://www.corcept.com/ Corcept is an Equal Opportunity Employer Corcept will not conduct interviews via text message or messaging platforms and will not ask you to download anything as part of your interview. Though we use third-party tools to help with advertising our jobs, please be vigilant in checking that the communication is in fact coming from Corcept.

If you are a current University employee, please use the internal career site to apply for this position. Job Description The University of Findlay seeks applicants for a Part-Time Faculty of Forensic Science, beginning Fall 2025. A Ph.D. in biology or chemistry or closely related field, with practical experience in forensic science and teaching experience, is preferred. Those with master's degrees in forensic science and/or substantive forensic science professional experience will be considered. ABD's will also be considered for this position. Applicants are expected to possess a strong commitment to excellence in teaching undergraduate forensic science courses. Teaching responsibilities will include lower and upper-level undergraduate forensic science courses. The candidate should possess strong written and oral communication skills, a demonstrated ability to work effectively and collegially with a diverse group of students, faculty, and staff, and a commitment to teaching excellence and student mentorship. The University of Findlay is a comprehensive master's institution and the largest private university in northwest Ohio with more than 4,700 students enrolled in diverse academic programs. Teaching excellence is the top priority of the University faculty. The Princeton Review, Institutional Research and Evaluation, Inc. and Student Horizons, Inc. have recognized the University of Findlay as outstanding. The City of Findlay, population 40,000, is recognized as one of the best micropolitan communities in Ohio, with a strong business base, school system and a friendly atmosphere. Review of applications will begin immediately and continue until the position is filled. For optimal consideration for this exciting opportunity, attach a cover letter; current curriculum vitae; a statement of teaching philosophy; contact information for three professional references; and a completed faculty application. The UF Employment Application may be found on the website at: https://www.findlay.edu/offices/business-affairs/human-resources/Open-Positions . The University of Findlay is an Equal Opportunity Educator and Employer. It is the university's policy to prohibit discrimination and provide equal opportunity to all employees and applicants for employment, without regard to their race, sex, color, religion, ancestry, national origin, age, disability, veteran status or military. For additional information on the University of Findlay, visit https://www.findlay.edu . For optimal consideration of your applicant file, faculty applications must include a cover letter; current Resume or Curriculum Vitae; a statement of teaching philosophy; and the contact information for three professional references with your application. Staff applications must include a current Resume or Curriculum Vitae and cover letter with your application. The University of Findlay is an Affirmative Action/Equal Opportunity Educator and Employer. It is the university's policy to prohibit discrimination and provide equal opportunity to all employees and applicants for employment, without regard to their race, sex (including gender identity/expression), color, religion, ancestry, national origin, age, disability, veteran status, military or sexual orientation.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, Spring House, Pennsylvania, United States of America Job Description: Johnson & Johnson Innovative Medicine is recruiting for a Sr Director, Head of Data Science & Digital Health- Therapeutics Discovery This position has a primary location of Spring House, PA and is also open to Cambridge, MA. Travel: Up to ~25% domestic/international Reports to: VP, R&D Data Science- DPDS Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Role Overview We are seeking a Senior Director to lead our Data Science and engineering strategy for our R&D Therapeutics Discovery (TD) organization. This role will partner closely with TD leadership, data scientists embedded in the TD teams, and our IT partners to streamline Discovery data automation, deliver robust data products, and scale advanced analytics and AI capabilities across the portfolio. You will shape how discovery data is captured, integrated, and leveraged to accelerate decision-making and innovation. This position requires a visionary leader who can align TD's data strategy while ensuring interoperability with other departments such as Preclinical Sciences & Translational Safety (PSTS), Therapeutics Development & Supply (TDS), and all our Therapeutic Areas. Key Responsibilities Develop and execute a comprehensive data strategy for TD, focusing on advanced automation, data integration, and FAIR data practices; in close alignment with TD and IT. Lead the design and implementation of scalable data pipelines to support discovery workflows. Partner with TD leaders to build strong external partnerships with industry consortia and academic partners pertaining to Data Science needs for TD. Co-Champion data governance, analytics, model lifecycle management (MLOps), and Responsible AI standards into reusable capabilities that can be shared elsewhere in the organization. Lead a core team of data scientists and engineers to support TD in reaching its strategic goals. Collaborate with TD teams (such as: In Silico Discovery and Discovery Technologies & Molecular Pharmacology), IT, R&D Data Science, and external partners to jointly introduce emerging technologies such as generative and agentic AI, multimodal analytics, and advanced automation tools that benefit TD's business objectives. Collaborate with TD teams (such as: In Silico Discovery and Discovery Technologies & Molecular Pharmacology), IT, R&D Data Science, and external partners to jointly introduce data and technology innovation standards. Works with peers across Discovery, Product Development, & Supply (DPDS) and our Therapeutic Areas to generate and analyze our data in the best way possible for opportunities in Therapeutic Discovery (for example: experiment design, molecule design, lab process automation, etc.) Qualifications PhD or equivalent experience in Computational Biology, Chemistry, AI/ML, Applied Math/Statistics or related field. 12+ years in data science for drug discovery, with experience leading teams in a matrix setting. Proven expertise in creating high impact R&D innovations through data science, data engineering, and automation within scientific domains. Strong experience leading the application/creation of ML/AI methods while demonstrating a deep understanding of drug discovery workflows. Demonstrated success in delivering interoperable data products and scalable analytics platforms. Excellent communication and matrix leadership across scientific, technical, and business stakeholders in a global organization. Leadership Attributes Strategic Vision: Ability to anticipate future trends in data science and drug discovery and translate them into actionable strategies. Collaborative Influence: Skilled at building consensus and driving alignment across diverse scientific and technical teams. Innovation Mindset: Passion for leveraging emerging technologies to solve complex scientific challenges. Talent Development: Commitment to mentoring and growing a high-performing team of data scientists and engineers. Communication Excellence: Ability to articulate complex technical concepts to non-technical stakeholders and executive leadership. Ready to make an impact? Join us in shaping the future of Therapeutic Discovery at Johnson & Johnson! Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Preferred Skills: Advanced Analytics, Budget Management, Business Alignment, Compliance Management, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Strategic Thinking The anticipated base pay range for this position is : $196,000.00 - $342,700.00 Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits: Vacation- 120 hours per calendar year Sick time- 40 hours per calendar year; for employees who reside in the State of Colorado- 48 hours per calendar year; for employees who reside in the State of Washington- 56 hours per calendar year Holiday pay, including Floating Holidays- 13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave- 480 hours within one year of the birth/adoption/foster care of a child Bereavement Leave- 240 hours for an immediate family member: 40 hours for an extended family member per calendar year Caregiver Leave- 80 hours in a 52-week rolling period10 days Volunteer Leave- 32 hours per calendar year Military Spouse Time-Off- 80 hours per calendar year he following link to general company benefits information MUST also be included in the posting: Please use the following language: For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits

Responsibilities: Engage in scientific exchange with expert healthcare professionals as part of the Medical Affairs team. Participate in Medical Affairs project assignments. Communicate scientific concepts effectively to multiple audiences - verbally, graphically, and in writing. Contribute to key department functions (e.g., medical information) and inter-departmental initiatives. Qualifications: Doctoral degree required (PhD, PharmD, MD) Prior experience in neurology-related field required. Preference given to those with pharmaceutical industry experience in multiple sclerosis. Immunology experience a plus Previous experience (2+ years) as an MSL or in Medical Affairs strongly preferred Experience in clinical research and/or direct patient care ideal Exemplary written and verbal communication skills, with the ability to present complex information clearly to a variety of audience types Adept at building and maintaining relationships with others Proficient in the use of Microsoft Office applications Demonstrated ability to adapt within a dynamic environment Willingness to travel (75%) and easy access to a major metropolitan airport Must be able to perform the essential functions of the position, with or without reasonable accommodation; however, reasonable accommodations will be provided for qualified individuals with disabilities unless doing so would impose undue hardship. The total compensation package for this position will also include incentive compensation and benefits such as health insurance, unlimited paid time off, parental leave, a 401k matching program, and other benefits to its employees. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, gender identity, sexual orientation, protected veteran status, or any other characteristic protected by law. If you reside in a state or locality with enacted pay transparency laws, you are entitled to request and receive additional details regarding compensation and benefits. For assistance, please contact us at 202-524-8238 between 8:00 AM and 5:30 PM ET, Monday through Friday.

Job Category Adjunct Faculty FVTC Worksite Appleton Main Campus Hours Per Week 8.75 Note to internal applicants: Do not apply via this portal. Login to your Workday Account and Find Internal Career Opportunities through the Internal Portal. Fox Valley Technical College celebrates diversity, supports equity and inclusiveness, and encourages individual expression in our workplace. Job Description Summary Adjunct Instructors are responsible for the facilitation of student learning and the on-going development of instructional strategies that promote student success. Job Description Essential Functions and Responsibilities The following duties are primarily performed and are essential for this position. Employees are expected to be able to perform each of these job duties satisfactorily and successfully to be qualified for the position. Other duties may be required and assigned. Learning Facilitation- Foster student learning by developing appropriate instructional strategies to meet diverse student needs and support student engagement. Employ learning experiences that integrate multiple delivery methodologies and instructional technologies to maximize student success, such as hybrid, in-person, virtual, and on-line course delivery. Assessment- Assess student learning and provide regular feedback to help students be successful. Use data to measure quality outcomes related to course success and learning, and implement improvement strategies based on the evidence. Classroom Management- Fulfill assigned schedule, maintain accurate student attendance and grade records, maintain instructional environment with emphasis on safety, housekeeping, and equipment security, and ensure opportunities for student/engagement evaluation. Team Participation- Support the college by engaging with the department, as well as staying current with internal and external changes and initiatives. Business & Community Engagement- Build and maintain ongoing relationships with community, industry, and clinical partners. Proactively promote the College and our programs. Student Success & Support- Serve as an advocate for students and collaborate with Student Services staff to retain students, close achievement gaps, and help all students be successful. Professional Development- Continually improve knowledge and skills in emerging trends, current occupational practices and teaching through professional development activities, and current employment in the field. Maintain Faculty Quality Assurance System requirements and licensure required to maintain individual and program accreditation. Curriculum Development- Develop curriculum and instructional materials that are competency-based, current, consistent with employer expectations, and aligned with the college policy on the level of required documentation. Minimum Qualifications Education and/or Experience Requirements: Master's degree in a Social Science discipline. Master's degree in related field with at least 18 graduate credits in a Social Science discipline. Master's degree in related field AND Department of Public Instruction licensure in a Social Science discipline or subfield they teach. Non-US degrees/courses may provide a different scope of practice in other countries. Courses to be reviewed on an individual basis. Licenses, Certifications, and Other Requirements: Proficiency utilizing learning management system. Strong verbal communication skills. Adapt quickly to changing demands, assignments, and circumstances to meet student needs. Communicate effectively and professionally with various audiences. Engage in continuous improvement in the quality of instruction by embracing innovative methodologies, techniques, and delivery methods. Prior to hire, a background check including criminal record history will be conducted. Information from the background check will not necessarily preclude employment but will be considered in determining the applicant's suitability and competence to perform in the position. In evaluating candidates for this position, Fox Valley Technical College may consider a combination of education, training, and experience which provides the necessary knowledge, skills, and abilities to perform the duties of this position. Physical Requirements Mobility: The ability to move around the classroom or instructional space, including walking between students' desks or workstations. Standing and Sitting: The capability to stand for extended periods during lectures or demonstrations, as well as the ability to sit for grading, office hours, and administrative tasks. Lifting and Carrying: Depending on the subject matter, instructors may need to lift and carry teaching materials, equipment, or props Speech and Hearing: Clear speech and the ability to hear students' questions and interactions are essential for effective instruction. Fine Motor Skills: Instructors may need precise hand movements or manual dexterity for activities such as writing on a whiteboard, demonstrating experiments, or using instructional technology like computers. Visual Acuity: Adequate vision to read course materials, assess student work, and operate instructional equipment. Health and Safety: Instructors should be capable of ensuring a safe learning environment, which may involve understanding and adhering to safety protocols, responding to emergencies, and addressing any physical hazards in the instructional space. Travel: Instructor position may require off-site teaching, fieldwork, or travel for professional development. Repetitive Motions: Capacity to perform repetitive motions, such as typing, without discomfort or injury. Communication: Clear verbal and written communication skills are essential for interacting with employees, candidates, and stakeholders, both in-person and through electronic means. Work Environment Work is typically performed in a classroom. Work is typically performed online. Work will be completed in a hybrid environment, both in person and virtually. Work environment may change based upon college needs. EOE/ADA Statement Fox Valley Technical College (FVTC) is an Equal Opportunity Employer (EOE). In compliance with the Americans with Disabilities Act (ADA), FVTC will provide reasonable accommodations to qualified individuals with disabilities and encourages both prospective and current employees to discuss potential accommodations with the employer. Nothing in this job description limits management's right to assign or reassign duties and responsibilities to this job at any time. The duties listed above are intended only as illustrations of the various types of work that may be performed. The omission of specific statements of duties does not exclude them from the position if the work is similar, related or a logical assignment to the position. The job description does not constitute an employment agreement or affect the at-will nature of the employment arrangement between the employee and company and is subject to change by the employer as the needs of the employer and requirements of the job change. Additional Information Hourly pay rate: $45.00 Pay is based on a multitude of factors, including experience, qualifications, education, relevant certifications, internal equity, and market data. Thank you for your interest in Adjunct Faculty opportunities with Fox Valley Technical College. Upon successful submission of your application, cover letter, and resume, you will be considered for future adjunct faculty opportunities. FVTC will keep your application in our files as a POTENTIAL candidate who could possibly fill a position when or if the need arises. ONLY if the need shall arise, you will be contacted via the contact information provided on your application, otherwise you will not receive any further contact from FVTC. Adjunct instructors are hired on a per course basis. The total hours for an adjunct instructor range from approximately 3 hours per week to no more than 8 hours per week. Hours vary and can include both day, evening, and weekend classes. Courses are taught in traditional classroom and alternative delivery formats. If you should have any questions regarding adjunct teaching opportunities for this position, please contact Tammy Curtis at tammy.curtis4835@fvtc.edu. At Fox Valley Technical College, we recognize employees as key contributors to our mission and are committed to fostering a culture of fairness, transparency, and excellence. Our total rewards philosophy ensures equitable compensation and benefits, supporting a highly engaged workforce. In this position you will automatically be enrolled in the FICA Alternative Retirement Plan which helps you start save for retirement. Work-life balance is supported through flexible schedules or remote work options (for some positions) and wellbeing programs. Professional development opportunities include training. Additional perks at the Appleton Main Campus include an onsite dental clinic, fitness center, Parent/Child Center (onsite child care), library, café, printing services, Trilogy Salon & Spa, and more. Will accept applications on an ongoing basis. Fox Valley Technical College is an Equal Opportunity/Affirmative Action institution, providing equal opportunity to all persons, including members of underrepresented racial and ethnic backgrounds, females, veterans and individuals of all abilities. For questions regarding the College's nondiscrimination policy, contact: Rayon Brown - rayon.brown6751@fvtc.edu (Affirmative Action), TitleIX@fvtc.edu (sex-based discrimination or harassment), or Dan Squires - daniel.squires3328@fvtc.edu (Disability related discrimination).

Adjunct Faculty are hired each semester on an as-needed basis. Adjunct Faculty are responsible for creating a learning environment that assists students in reaching their goals; and for providing effective instruction and assessment within the framework of common syllabi provided. MAJOR RESPONSIBILITIES: Facilitates student learning by delivering assigned classes in accordance with College policy and course objectives. Makes optimal use of available technology to enhance instructional methods. Develops/maintains course outlines, syllabi, lesson plans, assignments, tests, and materials. Maintains accurate student records, grades, and other requirements. Engages with students in meaningful and productive ways that impact student learning and leads to a positive experience with Ivy Tech Community College, shows evidence of developing and implementing active classroom teaching strategies focused on engaging students with their learning (curricular). Interacts with students and co-workers in a professional and cooperative manner, complies with College policies, campus guidelines and expectations. Ensures knowledge of and implements emergency and safety procedures for classrooms, labs and all learning environments. This is not to be construed as an exhaustive list. Other duties logically associated with this position may be assigned. All responsibilities will be conducted within the parameters of the Family Educational Rights and Privacy Act (FERPA), other applicable regulatory requirements, and professional standards. We are looking for a candidate who is committed to an environment where team members feel valued, respected and supported. The ideal candidate will demonstrate a strong commitment to a workplace culture that recognizes and appreciates varied perspectives, backgrounds, and experiences. We are seeking someone who is passionate about creating and maintaining a team dynamic that encourages open communication and mutual respect. SUPERVISION RECEIVED: Program Chair, Department Chair, or Dean SUPERVISION GIVEN: None Minimum Qualifications: Must have strong working knowledge of current technologies appropriate to area of instruction and meet faculty credentials as outlined in the ASOM 7.1 for the specific area(s) of instruction. Conducts all activities with an appreciation, respect, and promotion of diversity of people, styles, and views. Other Requirements: Science Discipline Standard A qualified faculty member in physical science possesses an earned master's or higher degree, from a regionally accredited institution, with 18 graduate semester hours in the physical sciences. Transcripts and/or relevant certifications/licenses required at time of hire Offers of employment are contingent upon completion of a satisfactory background check Ivy Tech Community College is an accredited, equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, national origin, marital status, religion, sex, gender, sexual orientation, gender identity, disability, age or veteran status. As required by Title IX of the Education Amendments of 1972, Ivy Tech Community College does not discriminate on the basis of sex, including sexual harassment in its educational programs and activities, including employment and admissions. Questions specific to Title IX may be referred to the College's Title IX Coordinator or to the US Department of Education Office of Civil Rights.

Department PSD Data Science Staff About the Department The Data Science Institute (DSI) executes the University of Chicago's bold, innovative vision of Data Science as a new discipline. The DSI seeds research on the interdisciplinary frontiers of this emerging field, forms partnerships with industry, government, and social impact organizations, and supports holistic data science and AI education. The staff in the Data Science Institute support the University's students and scholars, their shared ideals, and the core values that make the University a singular intellectual destination. Job Summary The Program Administrator for Community-Centered Data Science (CCDS) is responsible for program development, coordination of initiatives, and executing student engagement activities in support of our community-centered data science mission. This work includes Data4All High School Program, The 11th Hour Project Software and Data Hub, Data Science for Social Impact (DSSI) Summer Program, Data Science Corps Program, and more. In collaboration with the DSI leadership team, this role will develop and execute outreach strategies to partner with programs and units within the University of Chicago, external partners, academic institutions, and civic and social impact organizations. This at-will position is wholly funded by contractual grant funding, which is renewed under provisions set by the grantor of the contract. Employment will be contingent upon the continued receipt of these grant funds and satisfactory job performance. Responsibilities Develops budgets for programs and works with PIs, staff, faculty, and financial admin to ensure compliance with grant reporting requirements that includes progress reports and final reports; utilizes information included in progress and final reports to create content highlighting the program impact and translation of results. Assists in the pursuit of grants and foundation proposals. Supports proposals by working closely with DSI leadership and faculty when appropriate. Implements protocols for evaluating the effectiveness of CCDS programs. Manages the daily operations of high school and undergraduate programs throughout the academic year and summer. Leads admissions, recruiting, and enrollment of CCDS programs and activities. Manages hiring and oversight of student staff for CCDS programs. Implements protocols for evaluating the effectiveness of student research programs. Serves as a primary point of contact for academic partners, students, alumni, and faculty mentors as relevant to CCDS programs. Provides Senior Associate Director of CCDS and DSI leadership team with budget updates as needed. Drafts and publishes communications content through authorized channels, such as website and email, to ensure content is up-to-date and accessible to key stakeholders. Assists in purchasing, reimbursement and monitoring expenses for CCDS programs and initiatives. Assists in event planning and execution, including creation of workflows and other necessary tracking documents to ensure details are appropriately managed and timelines are attended to. Work with DSI team and leadership to identify new partnership opportunities to elevate and expand existing work to reach a broader, or higher impact, audience. Assists DSI leadership team with other administrative and operational projects and other related work as needed. Sets and communicates program priorities and performance standards and assesses operations using these criteria. Plans and conducts quality assurance reviews and recommends changes as appropriate. Analyzes program budgets and recommends or makes budgetary recommendations. Performs other related work as needed. Minimum Qualifications Education: Minimum requirements include a college or university degree in related field. Work Experience: Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline. Certifications: -- Preferred Qualifications Education: Bachelor's degree. Experience: Administrative experience in student affairs, academic support, or closely related environment. Previous experience with quality improvement practices. Previous experience in a higher education setting. Technical Skills or Knowledge: Proficiency in Microsoft Office (Word, Excel, PowerPoint). Preferred Competencies Self-starter who can operate in a complex environment with limited oversight. Attention to detail. Familiarity with general business practices, in particular budget and deliverable tracking. Commitment to providing a high level of service and working in a team environment. High degree of professionalism and emotional intelligence. Handle confidential information with utmost discretion. Excellent interpersonal, oral, and written communication skills. Handle multiple tasks simultaneously and under tight deadlines. Strong analytical and organizational skills. Working Conditions This position is eligible for a partial remote work arrangement. Occasional evening or weekend work. Application Documents Resume/CV (required) Cover Letter (required) References Contact Information (preferred) When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application. Job Family Administration & Management Role Impact Individual Contributor Scheduled Weekly Hours 37.5 Drug Test Required No Health Screen Required No Motor Vehicle Record Inquiry Required No Pay Rate Type Salary FLSA Status Exempt Pay Range $67,000.00 - $75,000.00 The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting. Benefits Eligible Yes The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook. Posting Statement The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form. All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position. The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu . Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. About this position We are looking for a highly motivated scientist passionate about precision medicine, with a strong background in analyzing large-scale, multi-omic molecular and real-world clinical datasets. In this role, you will collaborate with an interdisciplinary team to develop and refine best practices for integrating and analyzing Tempus' comprehensive multi-modal data-including genomics, transcriptomics, digital pathology, and longitudinal clinical records. You will play a key role in evolving the Tempus Data Model to maximize the value of these diverse data types, and lead impactful research studies that leverage this unique dataset to address critical questions in cancer and other human diseases. Your work will directly enhance Tempus' research capabilities and empower our teams and partners to generate actionable insights for patient care. Responsibilities Lead and contribute to translational research projects leveraging large-scale real-world clinical and multi-omic molecular data. Collaborate closely with computational scientists, engineers, and data production teams to design, validate, and refine data models and analytical workflows for research use. Evaluate and integrate omic data sets within the Tempus data platform. Define and document best practices for scientific use of Tempus data, ensuring analytical rigor and reproducibility. Communicate complex bioinformatics methods, analytical results, and scientific findings clearly to audiences with varying levels of technical and genomics expertise. Required Qualifications: 3+ years experience in industry or academia, following completion of PhD degree in quantitative NGS-related disciplines (e.g. Computational Biology, Genetics, or similar). Alternatively, a PhD in computational biology with a strong record of multi-omic, high-throughput sequencing data analysis Demonstrated track record of peer-reviewed publications in cancer or translational research using large-scale, multi-omic datasets. Strong experience analyzing real-world clinical data and linking it with molecular datasets. Advanced SQL skills and hands-on experience working with large, complex relational databases and data models. Thrive in a fast-paced environment and willing to shift priorities seamlessly Preferred Qualifications Experience integrating molecular data with real-world evidence and longitudinal clinical outcomes. Expertise in multi-omic analyses, including single-cell and/or spatial platforms. Proficiency in Python and/or R for scientific data analysis and visualization. Familiarity with CLIA/CAP validation frameworks and translating scientific analyses into production or clinical-facing contexts. Experience with modern research computing and engineering practices (e.g., Git-based workflows, Docker, cloud computing, code review). CHI: $100,000-$160,000 NYC/SF: $115,000-$165,000 The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Data Science Director About Mastercard Mastercard is a global technology company in the payments industry, connecting billions of consumers, financial institutions, merchants, governments, and businesses worldwide. We are driving the future of commerce by enabling secure, simple, and smart transactions. Artificial Intelligence is at the core of our strategy to make Mastercard stronger and commerce safer, smarter and more personal. Overview At Mastercard, we're building an Agentic AI platform to transform how our products and services deliver intelligent, personalized experiences. We are looking for a Data Science Director to lead the development and deployment of our Graph database and Reinforcement Learning capabilities in a multi-agent simulation platform. Responsibilities: Leadership & Strategy Define and execute the data science vision and roadmap for Graph database and Reinforcement Learning capabilities, aligning initiatives with business priorities and product strategy. Recruit, lead, and mentor a high-performing data science team, fostering a culture of technical excellence, innovation, and collaboration. Partner with product, engineering, and business leaders to shape requirements and deliver data-driven capabilities that improve customer experience and reduce disputes. Product Impact Build and scale Graph database and Reinforcement Learning capabilities that enrich merchant and transaction data. Guide the design and implementation of Graph database and Reinforcement Learning capabilities that leverage generative AI, multi-agent systems, NLP, and computer vision to enhance platform experiences. Monitor and continuously improve deployed models to ensure accuracy, reliability, and compliance in a regulated financial environment. Technical & Operational Excellence Provide hands-on technical leadership in model development, deployment, and governance across cloud environments (Azure, Snowflake, Spark). Ensure compliance with Mastercard's data governance, security, and privacy requirements. Review and oversee code, models, and engineering components developed by the team to maintain enterprise-grade standards. Innovation & Thought Leadership Drive exploration of cutting-edge technologies, including generative AI and agentic frameworks, to strengthen the product offering and Mastercard technical competence. Represent Mastercard's AI leadership through patents, publications, conference presentations, and academic partnerships. Incubate prototypes and proofs-of-concept to evaluate new methods before scaling into production. All About You: Proven experience leading data science teams and delivering enterprise-scale AI/ML solutions. Deep expertise in supervised, unsupervised, and generative AI methods, with strong understanding of their mathematical foundations. Hands-on background in building and implementing Graph database and Reinforcement Learning capabilities in real world applications. Strong track record of translating complex data problems into scalable, measurable business outcomes. Proficiency in Python, ML frameworks (Scikit-learn, PyTorch, TensorFlow), SQL, Spark, and Azure ML/Snowflake. Experience working in highly regulated industries, with an emphasis on data governance and compliance. Skilled at engaging with senior stakeholders, presenting technical results to diverse audiences, and driving alignment across functions. Master's degree required; PhD preferred. Nice to Have: Experience in payments, FinTech, or consumer transaction data. Prior patents or publications in AI/ML. Demonstrated success applying GenAI or multi-agent systems in production environments. #AI1 Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges Arlington, Virginia: $179,000 - $305,000 USD Purchase, New York: $179,000 - $305,000 USD San Francisco, California: $187,000 - $318,000 USD

Do you love working in an academic environment? Do you love teaching and mentoring students, helping to shape the future? If so, we have the job for you! Shaw University is looking for Part Time (Adjunct) Faculty, Exercise Science: Fitness & Wellness. Reporting to the Department Head, the Adjunct Faculty of Exercise Science: Fitness & Wellness teaches traditional and/or non-traditional college-level students, at on-campus and/or off-campus sites on weekdays and/or weeknights and Saturdays. In addition to the utilization of a variety of teaching strategies, full-time teaching faculty must provide student assistance and advice in their subject area, participate in student orientation sessions, pursue scholarly activities and development, engage in service the University and to the community, attend official functions, and serve on faculty committees. Essential Job Functions: Demonstrates acceptance and support of the mission and goals of the University. Effectively teach knowledge-relevant college-level Exercise Science courses, with a commitment to providing excellence in education. Present course teachings in such a way that students are encouraged to develop critical thinking and problem-solving skills, to increase motivation, to develop a positive self-image, and to clarify their values. Actively engages in planning, developing, and improving curriculum offerings. On the first day of class, provides each student a copy of a course syllabus that conforms to University-approved requirements. Teaches the course in accordance with the course syllabus. Informs students of the course objectives and requirements, explains the grading system and attendance policy, and provides a bibliography of suggested readings. Participates in orientation sessions conducted each semester by the Department Head or Adult Degree Program Director as applicable. Ensures that undergraduate students are aware of tutorial and support services of the Academic Support Center, which includes advising, tutorials and first year programs, and all other departmental workshops associated with student learning. Other duties as assigned by supervisor. Education and/or Experience Master's Degree in Exercise Science or related with at least 18 graduate credits required; Ph.D. in Exercise Science preferred Minimum of two years' experience in academic setting preferred. Administrative experience in an educational setting is desirable. Should relate well with others and promotes a positive demeanor. Demonstrated success teaching at the college level. Recent experience in a higher education setting. Candidates with teaching experience and expertise in an additional area also offered in the assigned department is highly desired. Knowledge and experience in using instructional technology. Other Competencies Must have a philosophy that is consistent with the Mission, Vision and Core Values of the organization. Vision, commitment, and experience in achieving goals and pursuing excellence is critical. Strong oral and written presentation skills. Ability to work well independently and as a member of a team. Excellence in organization, decision-making, problem-solving, and creating a collaborative environment. Ability to manage multiple projects simultaneously. Must be able to read, write and speak fluently in English. If you need an accommodation for the application process, please contact humanresources@shawu.edu. Please upload the following with your application: A current, fully complete resume or curriculum vitae Unofficial graduate transcripts for credentialing An application cover letter with statements of teaching philosophy and research interests Three references, which you can provide with your application. Following the Human Resources office's receipt of a candidate's fully completed application package for a current job opening, then an applicant can be considered for employment, with their application information submitted to the recruiting manager/selection committee for review. Any potential hire is contingent upon the FINALIST candidate's ordering OFFICIAL TRANSCRIPTS of the HIGHEST GRADUATE-LEVEL DEGREE(S) awarded to be sent DIRECTLY FROM the awarding institution(s) DIRECTLY TO the Shaw University Human Resources Department at 118 E. South Street, Raleigh, NC 27601. Hand-delivered sealed transcripts will not be considered as official - they must be received directly from the awarding institution(s). Shaw University, located in Raleigh, North Carolina, is the first historically black institution of higher education in the South and among the oldest in the nation. Founded in 1865 by Henry Martin Tupper, our mission is to advance knowledge, facilitate student learning and achievement, to enhance the spiritual and ethical values of its students, and to transform a diverse community of learners into future global leaders. We consider applicants for all positions without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, or any other legally protected status.

We are OMD, Cannes Lions 2024 Media Network of the Year, RECMA's Best-Performing Media Network Globally, and COMvergence's #1 Global Agency Network. As the world's largest media network, with more than 12,000 people working in over 100 countries, we excel at making better decisions, faster. By combining innovation, creativity, empathy, and evidence, we help clients move faster, reach further, and take smarter risks in a world full of opportunities We pride ourselves on being a people-obsessed, outcomes-focused business that applies evidence and data-based solutions, married with the practice of empathy, to drive performance and growth. When working with our clients, we put ourselves in the shoes of the consumer in order to see the world through their eyes. We focus on finding greater empathy with the consumer so as to uncover insights and opportunities that deliver more valued and valuable connections. The Business Analytics team is pivotal in the delivery of modern agency services. We are tightly integrated with planning and investment teams to deliver on and exceed our clients' business goals. Responsibilities External facing responsibilities: Executing the measurement plan Production of campaign reports and analyses according to measurement plans Development of dashboards in data visualization tools such as Datorama and Tableau On-going data QA to ensure data used for reporting and analysis is accurate Development of observations and actionable insights around campaign results Data storytelling of results and analyses in presentation decks/slides Presenting reports and proposals to clients during monthly and weekly phone calls Internal facing responsibilities: Partner with the Planning and Investment teams on annual budget setting, media plan development and ongoing budget / plan optimization. Keep in front of industry trends and developments by engaging in training Required Skills Experience in integrated marketing related to media and/or customer journey development, including budgeting, revenue forecasting, ROI development Expertise in audience-based marketing and data-driven advertising Solution development: analytic skills, critical thinking and clarifying strategic & operational issues as relates to data and analytics. Problem-solving skills to drive issues to resolution. Stellar communication skills Comfortable working in ambiguous situations Education and Experience A university degree and 1+ years of data and analytics experience in advertising, management consulting, marketing or digital consulting Knowledge of agency-side media campaign planning and execution process is desirable, but not required #LI-CM1 This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits. Compensation Range $45,000-$75,000 USD This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs. Review Our Recruitment Privacy Notice

R10081204 Director- Healthcare & Life Science (Open) Location: Waterford, CT (Regional Office) - Cust. installationsAlbany, NY - Karner Rd- Filling industrial, Billerica, MA- Filling industrial, Salem, NH (NEA)- Filling industrial How will you CONTRIBUTE and GROW? At Airgas, we are committed to building a diverse and inclusive workplace that embraces the diversity of our employees, our customers, patients, community stakeholders and cultures across the world. Airgas is Hiring for a Manager- Director of Healthcare & Life in Waterford CT, or Albany, NY, or Billerica, MA or Salem, NH We are looking for you ! Pay $115K-$120K Travel 50% Recruiter: Neelam Patel / neelam.patel@gmail.com / 9133435762 The Director of Healthcare & Life Science is responsible for planning and executing high impact, strategic marketing and lead generation programs for company specific medical and speciality gas and related offerings for the Region. This position places a special focus on managing the sales team's efforts across multiple areas to achieve maximum results. Lead and Develop a High-Performing Sales Team: Manage, mentor, and motivate the Healthcare and Specialty Gas sales team, ensuring performance targets are met or exceeded while fostering a culture of customer excellence. Drive Sales Strategy and Growth: Define and implement successful sales processes, provide accurate sales forecasting, and manage key customer relationships to close strategic opportunities and achieve profitable growth. Ensure Cross-Functional Alignment: Work collaboratively with regional and national sales and marketing organizations to create seamless plans, and monitor customer, market, and competitor activity to provide essential feedback to company leadership. ____ Are you a MATCH? Education and Management Experience: Undergraduate degree in Business, Engineering, or a related field is required. Must have a minimum of 7 years of increasing responsibility in sales and marketing programs, including at least 5 years in a team management role. Leadership and Team Development: Proven strong leadership skills and a reputation for developing and managing a team of experienced sales professionals with a strong emphasis on customer excellence. Strategic Growth & Sales Acumen: A track record of achieving profitable sales growth, developing complex sales programs, analyzing markets, and cultivating strategic relationships. Operational Skills: Diversified experience in general management, marketing, and planning, coupled with strong project management skills for cross-functional leadership and milestone delivery. Preferred Qualifications: Prior specific industrial, specialty, and medical gas field experience. ____ Benefits We care about and support all Airgas associates. This is evident not only through our competitive compensation but also through a comprehensive benefits package that includes medical, dental, and vision plans, vacation, sick time, floating holidays, and paid holidays for full-time employees. We provide a progressive parental leave package for our eligible Airgas parents, offering generous paid time off for the birth or placement of children. Additionally, we offer our employees a 401k plan with company matching funds, tuition reimbursement, discounted college tuition for employees' dependents, and an Airgas Scholarship Program. _ ____ Your DIFFERENCES enhance our PERFORMANCE At Airgas, we are committed to building a workplace that embraces the diversity of our employees, our customers, patients, community stakeholders and cultures across the world. We welcome and consider applications from all qualified applicants, regardless of their race, gender, sexual orientation, religion, disability or any other protected characteristic. We strongly believe a diverse organization opens up opportunities for people to express their talent, both individually and collectively and it helps foster our ability to innovate by living our fundamentals, acting for our success and creating an engaging environment in a changing world. _ ____ About Airgas Airgas, an Air Liquide company, is a leading U.S. supplier of industrial, medical and specialty gases, as well as hardgoods and related products; one of the largest U.S. suppliers of safety products; and a leading U.S. supplier of ammonia products and process chemicals. Through the passion and diversity of its 18,000 associates, Airgas fosters a culture of safety, customer success, sustainability and innovation. Airgas associates are empowered to share ideas, take initiative and make decisions. Airgas is a subsidiary of Air Liquide, a world leader in gases, technologies and services for industry and healthcare. Present in 60 countries with approximately 66,500 employees, Air Liquide serves more than 4 million customers and patients. Join us for a stimulating experience: At Airgas, you matter and so does the work you do. As a member of our team, you play an important role in the success of your team, making sure our products are created sustainably and delivered safely and efficiently. In turn, you'll find a welcoming workplace where you're valued for who you are and where you can fill your potential while growing a fulfilling career - whatever path you choose. _ ____ Equal Employment Opportunity Information We are an equal opportunity employer. We welcome all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. Airgas, an Air Liquide Company is a Government contractor subject to the Vietnam Era Veterans' Readjustment Assistance Act of 1974 and Section 503 of the Rehabilitation Act of 1973. Airgas does not discriminate against qualified applicants with disabilities, and is committed to providing reasonable accommodations to the known disabilities of such individuals so as to ensure equal access to benefits and privileges of employment. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact us by email at us-accommodationrequest@airgas.com. _ ____ California Privacy Notice

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: R&D Product Development Job Sub Function: R&D Digital Job Category: Scientific/Technology All Job Posting Locations: Titusville, New Jersey, United States of America Job Description: At Johnson & Johnson, we believe health is everything! Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for humanity. Learn more at Johnson & Johnson. Johnson & Johnson's Manufacturing Science and Technology (MSAT) Advanced Manufacturing team is seeking a versatile and driven Senior Process Science Modeling Scientist for our Process Science Modeling and Data (PSMD) group. This role is critical in developing and deploying advanced mathematical models to optimize and enhance biopharmaceutical manufacturing processes. The candidate will bring a strong background in process modeling, optimization, and data-driven decision making, with a passion for innovation in the pharmaceutical industry. Qualifications PhD or equivalent experience in Chemical Engineering, Bioengineering, or related subject area, or MSc in Chemical Engineering, Bioengineering, or related field with proven experience in the pharmaceutical industry Required Skills & Experience Demonstrated background in Model Predictive Control, with relevant publications Expertise in mathematical optimization, including Nonlinear Programming (NLP), with solvers such as Ipopt and Baron, and using modeling libraries such as Pyomo Some knowledge of Mixed-Integer Linear Programming (MILP) and discrete-event simulation tools and frameworks, including SIMIO and SimPy is desirable Familiarity with mechanistic or hybrid modeling approaches for unit operations in pharmaceutical manufacturing Strong Python programming skills for model development, data analysis, and workflow automation Solid foundation in statistics and familiarity with machine learning models applied to process science Key Responsibilities Develop, validate, and deploy mathematical models to improve pharmaceutical manufacturing processes Engage with colleagues across engineering, manufacturing, and data science teams to understand challenges and deliver impactful solutions Design and implement technical roadmaps for innovation initiatives within the PSMD team Participate actively in research discussions, both internally and with academic partners, to develop knowledge exchange and collaborative innovation Collaborate with internal team members to identify and address process improvement opportunities About PSMD at J&J MSAT Advanced Manufacturing The PSMD group at Johnson & Johnson MSAT Advanced Manufacturing is dedicated to advancing pharmaceutical process science through innovative modeling, simulation, and data analytics. We strive to deliver robust solutions that drive efficiency, quality, and innovation across our manufacturing network. Required Skills: Preferred Skills: Analytical Reasoning, Critical Thinking, Data Savvy, Digital Fluency, Digital Strategy, Engineering, Product Design, Product Development, Product Improvements, Product Portfolio Management, Report Writing, Research and Development, Safety-Oriented, SAP Product Lifecycle Management, Statistics, Technical Credibility, Technologically Savvy The anticipated base pay range for this position is : 108.800,00 - 147.200,00 USD Gross Additional Description for Pay Transparency: The anticipated base pay range for this position is 108.800,00 USD Gross to 147.200,00 USD Gross on an annual basis.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: Spring House, Pennsylvania, United States of America Job Description: J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/ The Population Analytics and Insights, a part of Data Science and Digital Health at Johnson & Johnson Innovative Medicine, is recruiting a Senior Scientist to work on drug target identification/evaluation in Neuroscience therapeutic area. The primary location for this position is Spring House, PA, USA. No remote option is available for this position. The Data Science Analytics & Insights team develops innovative solutions using a variety of data sources across multiple different disease areas. We are looking for a highly motivated and self-driven scientist who will work on analyzing large-scale genomics data to strengthen our research capacity in disentangling the molecular drivers of neuropsychiatric conditions aimed at pushing the boundaries of data-driven drug discovery using the cutting-edge computational and algorithmic tools. KEY RESPONSIBILITIES: This position is defined on two main contexts: (a) Neuropsychiatric conditions 1) identify genetically-driven therapeutic targets leveraging a wealth of biobank scale data such as genetics, proteomics and other omics data modalities (2) precision stratification of patients and characterize genomic manifestations of disease subtypes using a wide variety of large-scale biological data and computational methods; (b) on-target toxicity/liability assessment of neuroscience-related target genes using omics data and network-based models. The Senior Scientist will work closely with a team of scientists in disease genetics, computational genomics, AI and machine learning as well as neuroscience therapeutic area to design and implement computational pipelines, analyze and interpret the results, and communicate the findings through internal presentations, conferences and scientific publications. The senior scientist will also have opportunities to collaborate with other researchers and institutions on related projects: Conceive, develop, and implement analytical solutions to high-priority scientific projects. Continuous engagement and participation with scientists across JnJ to foster scientific collaborations and building a carrier network. Analyze the large-scale genetics, proteomics, and other omics data modalities using the advances statistical and computational methods. Publish findings in top-tier journals and conferences. QUALIFICATIONS: The successful candidate will have a strong background in bioinformatics, computational biology, or related fields, with experience of working with large-scale genetics data e.g. SNP array, WES/WGS and multi-omics data e.g., proteomics, transcriptomics etc. A Ph.D. in a quantitative field- Bioinformatics, Computational Biology, Systems Biology, Statistical Genetics, Computer Science, or related fields. 2-3 years of postgraduate scientific experience. A strong publication record in the relevant areas is required. Proficient in programming languages such as R/Python, bash, SQL, etc. Experience with multi-omics data integration, especially network analysis. Experience/knowledge of psychiatric conditions such as schizophrenia and bipolar disorder is a plus. Experience with bulk/single-cell transcriptomics, epigenomics, and proteomics is preferred. Excellent written and oral communication skills, and ability to effectively communicate technical findings with stakeholders. Ability to work independently and as part of a team. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. Required Skills: Preferred Skills: Advanced Analytics, Business Intelligence (BI), Coaching, Collaborating, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility, Technologically Savvy, Workflow Analysis The anticipated base pay range for this position is : $109,000 - $174,800 Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation- 120 hours per calendar year Sick time- 40 hours per calendar year; for employees who reside in the State of Washington- 56 hours per calendar year Holiday pay, including Floating Holidays- 13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave- 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave- 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave- 10 days Volunteer Leave- 4 days Military Spouse Time-Off- 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

Job Description: Be part of the legacy leading reproductive medicine forward. For generations, Ferring Pharmaceuticals has stood at the forefront of reproductive health innovation. With a strong foundation and a history of breakthroughs, we're building the next chapter - and you can help write it. Our unwavering commitment to science and patient care has positioned us as a leader in maternal health and infertility solutions. Join a company with a proud legacy and a bold vision for advancing reproductive medicine worldwide. As a Manager, Medical Science Liaison (MSL), you'll play a pivotal role in this mission - connecting science with practice and helping us build the future of reproductive medicine. What you'll do Deliver accurate, balanced, and timely scientific information on Ferring products to healthcare professionals and decision-makers. Build strong scientific partnerships with key opinion leaders and academic centers to drive research and education initiatives. Support Phase IV studies and Investigator-Initiated Trials (IITs) from protocol development to completion. Provide ongoing scientific training and field support for Sales and Corporate Account Managers. Monitor medical advancements and competitive activities in reproductive medicine. Represent Ferring at advisory boards, speaker trainings, investigator meetings, and major scientific conferences. What you'll bring: Advanced degree (PharmD, PhD, MD, DO) required 2+ years of experience in reproductive medicine, maternal health, infertility or related fields Familiarity with FDA and OIG regulations, with training provided to deepen expertise Experience with clinical trial design and biostatistics preferred Strong communication and relationship-building skills, with opportunities to present at conferences and collaborate with global experts Located within respective territory and willingness to travel (up to 60%), with flexible scheduling and support for work-life balance Territory: Mid-Atlantic - Virginia, Pennsylvania, West Virginia What we value: We stay curious, open to new ideas and committed to advancing reproductive medicine. We collaborate across diverse perspectives, building trust and achieving breakthroughs together. We show courage by challenging the status quo and driving meaningful innovation. We hold ourselves accountable, owning decisions and results while learning from every outcome. We thrive on collaboration, fostering teamwork and shared success across the organization. We embrace entrepreneurship, acting boldly with creativity and initiative to turn vision into impact. Ferring + you At Ferring, we offer competitive total compensation along with an exceptional range of flexible benefits, personal support and tailored learning and development opportunities all designed to help you realize your full potential both in life and at work. From working hours that respect your lifestyle, a culture that is welcoming and equitable, and the chance to work with the industry's most impressive people, these are just some of the ways we live our "People First" philosophy. Our Compensation and Benefits At Ferring, base salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is $160,000 to $180,000, which is the reasonable estimate of the base compensation for this role. The actual amount paid may differ based on non-discriminatory factors such as experience, knowledge, skills, abilities, education and primary work location. Additional compensation for this role will be provided based on competitive annual incentive compensation targets in the form of an annual bonus - payouts are based on individual and company performance. Benefits for this role include: comprehensive healthcare (medical, dental, and vision) with a premium differential, inverse to base salary, to be paid by employees; a 401k plan and company match; short and long-term disability coverage; basic life insurance; wellness benefits; reimbursement for certain tuition expenses; sick time frontloaded yearly of 40 hours, or higher if state or local law requires; vacation time for full time employees to accrue between 112.5 and 150 hours yearly in the first four (4) years of employment, and additional accruals starting in the fifth (5th) year of employment; and 12 to 13 paid holidays per year. We are proud to offer paid parental leave, subject to a minimum period of employment at Ferring. Ferring is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of gender, race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local laws. Join our team and your voice will be heard, and your contributions will be valued. If you love to come up with new ways to make a positive difference and see them through, you will fit right in. We are proud to be an Affirmative Action/Equal Opportunity Employer (including Disability/Protected Veterans). We maintain a drug-free workplace. Location: Parsippany, New Jersey