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About Us Hippocratic AI is developing the first safety-focused Large Language Model (LLM) for healthcare. Our mission is to dramatically improve healthcare accessibility and outcomes by bringing deep healthcare expertise to every person. No other technology has the potential for this level of global impact on health. Why Join Our Team Innovative mission: We are creating a safe, healthcare-focused LLM that can transform health outcomes on a global scale. Visionary leadership: Hippocratic AI was co-founded by CEO Munjal Shah alongside physicians, hospital administrators, healthcare professionals, and AI researchers from top institutions including El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft and NVIDIA. Strategic investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA's NVentures, Premji Invest, SV Angel, and six health systems. Team and expertise: We are working with top experts in healthcare and artificial intelligence to ensure the safety and efficacy of our technology. For more information, visit www.HippocraticAI.com. We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA unless explicitly noted otherwise in the job description. About the role Build the next generation of voice agents Work with an interdisciplinary team Develop highly scalable infrastructure for LLM processing Responsibilities Develop and maintain scalable backend systems to support high-performance AI applications in healthcare. Collaborate with cross-functional teams, including data scientists and ML engineers, to design and build efficient data pipelines for large-scale healthcare datasets. Build and manage APIs and microservices that enable smooth data retrieval, processing, and interaction with AI models. Monitor and improve backend systems to optimize performance, reliability, and uptime. Work closely with product managers to understand healthcare requirements and help transform them into technical solutions. Engage in team discussions and knowledge sharing to promote a collaborative and innovative engineering culture. Qualifications Must-Have: Bachelor's degree in Computer Science, Computer Engineering, or a related field (or equivalent practical experience). 7+ years of experience in backend development using programming languages like Python, C++, Golang, or similar. Strong problem-solving skills and a willingness to learn and grow. Familiarity with relational database systems and RESTful APIs. Basic understanding of cloud infrastructure (e.g. AWS, GCP). Preferred: Exposure to AI/ML concepts or experience working with LLMs. Experience working in teams that handle sensitive or regulated data. Familiarity with gRPC, graphQL or similar Exposure to DevOps concepts - CI/CD, deployment, terraform, build systems.

Be visionary Teledyne Technologies Incorporated provides enabling technologies for industrial growth markets that require advanced technology and high reliability. These markets include aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical research. We are looking for individuals who thrive on making an impact and want the excitement of being on a team that wins. Job Description Serve as technical leader for a team developing and optimizing processes related to the calibration and manufacture of high-volume thermal-imaging products. The role requires broad knowledge of infrared imaging systems, strong communication & interpersonal skills, and a demonstrated facility for leading an engineering team. The Systems Engineer in the calibration-science role works closely with product development teams and product manufacturing teams and has ultimate technical authority for specifying and implementing processes which ensure high-quality, high-yielding thermal-imaging products. The ideal candidate will have experience in both design and manufacturing. Must be US Citizen or PERM Resident Primary Duties & Responsibilities: Define and manage hardware and logic requirements for automated manufacturing stations, verify compliance against them Provide technical coordination of a team of hardware and software engineers to define team strategy, establish priorities, identify interdependencies, resolve issues, and manage risks Lead problem-solving activities focused on containment and resolution of emergencies such as process excursions, yield issues, and requirements / priorities change Coordinate with product management, camera design teams, and manufacturing teams to prioritize and achieve technical milestones Document decisions, results, lessons learned and best practices Collaborate with other systems engineers in peer-reviews, in definition of best practices, and in coaching / training activities Job Qualifications: BS or higher in Engineering, Physics, Computer Science or other related technical field. Ideal candidate will have a solid background in both hardware and software systems and good general knowledge in thermal and mechanical engineering. Strong initiative & drive. As technical leaders of complex development projects, Systems Engineers must prioritize, multi-task, and lead by example. A growth mindset is essential to stay abreast of technology trends, take advantage of lessons learned, and acquire new approaches. Stellar oral & written communication. The Systems Engineer generates much of the process documentation and has oversight responsibility for all of it. He/she is also the focal point for technical coordination. Demonstrated authority as a problem solver with a track record of innovative solutions. Previous Systems Engineering experience is highly advantageous. Prior participation in product development and/or high-volume manufacturing is also very valuable to this role. While previous experience with thermal imaging technology is not required, ability to learn on the job is critical to success. Familiarity with optics, sensors, electronics, mechanical design, software development, and/or advanced signal processing will provide a head start to the knowledge ultimately needed to lead development of our future products. Expertise in data analysis, ideally with experience using image-analysis tools (e.g., MATLAB, Python) and data-analysis software (e.g., JMP, EXCEL/PowerBI). Systems Engineers must be onsite as required to lead project teams. The role has no direct reports. However, successful Systems Engineers excel at leading development teams and providing technical oversight. Salary Range: $113,600.00-$151,400.000 Pay Transparency The anticipated salary range listed for this role is only an estimate. Actual compensation for successful candidates is carefully determined based on several factors including, but not limited to, location, education/training, work experience, key skills, and type of position. Teledyne and all of our employees are committed to conducting business with the highest ethical standards. We require all employees to comply with all applicable laws, regulations, rules and regulatory orders. Our reputation for honesty, integrity and high ethics is as important to us as our reputation for making innovative sensing solutions. Teledyne is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other characteristic or non-merit based factor made unlawful by federal, state, or local laws.

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 psychiatry-related field required. Preference given to those with pharmaceutical industry experience in schizophrenia and mood disorders 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.

Our Mission Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. For more information, see our website at altoslabs.com. Our Value Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission. Diversity at Altos We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment. What You Will Contribute To Altos We have an opportunity available for a contract Data Scientist to work in the field of cells, genomics and related areas. This role will focus on exploring statistical models, understanding the data and model behaviour to gain deep insights, focussing on biological mechanisms & hypotheses validation. Responsibilities Generate insights and models from multi-omics datasets (using public and internal data) to understand patterns, trends and relationships within data to inform decision-making and solve problems. Works across various domains, in partnership with Computational Biologists / Scientists and AI/ML Scientists offering integrated insights across disciplines Design, develops and programs methods, processes, and systems to extract, consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights that form a hypothesis. Build databases and is responsible for the curation of Data, including experimental data management. Extracting knowledge, insights and predictions from data using Bayesian statistical methods, machine learning and data visualization to gain insights. Can demonstrate and apply depth in their statistical expertise and application & insights shared. Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement. Define and document best practices for capturing and entering experimental metadata, and educate scientists and collaborators about these standards. Build pipelines for quality control, processing and analysis of raw targeted and untargeted datasets. Develops and codes software programs and leverages algorithms and methodologies being developed by the scientific community for use cases of relevance to Altos Labs. Stay current with and adopt emergent analytical methodologies, tools and applications to ensure fit-for-purpose and impactful approaches. Partner closely with the Lab scientists and researchers to identify opportunities for data and insight mining to accelerate research. Embed analyses and visualizations in automated reports. Who You Are Minimum Qualifications PhD in interdisciplinary quantitative science such as Biology, Chemistry, Computer Science, Physics, etc. 2+ years of relevant work experience in either an academic or industry setting. Working knowledge of cell biology and experience in large scale data analysis and statistical modeling on datasets like RNA-seq, ATAC-seq, protein network, pathways, etc. Proven track record of completed scientific projects as evidenced by publications and preprints. Strong breadth and expertise in Statistical analysis, machine learning, data visualization, programming (Python, R, etc.), data cleaning and data manipulation. Tools: Python, R, SQL, TensorFlow, Scikit-learn, Tableau, Power BI. Ability to generate high quality ideas and be self-driven to explore. Strong experience in programming and comfortable modifying existing code-base. Experience with Python, R data cleaning and data manipulation or other related scientific languages. Willing to work in a collaborative environment and share periodic updates across the company. Preferred Qualifications Strong and demonstrable experience working in an AWS compute environment is a major advantage. Experience integrating prior knowledge from public databases (e.g., KEGG) into -omics data analysis pipelines. The salary range for Redwood City, CA: Scientist II, Data Science: $95.00 - $115.00/hour Exact compensation may vary based on skills, experience, and location. For UK applicants, before submitting your application: Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice) This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment. Equal Opportunity Employment We value collaboration and scientific excellence. We believe that diverse perspectives and a culture of belonging are foundational to scientific innovation and inquiry. At Altos Labs, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining an inclusive environment. Altos Labs provides equal employment opportunities to all employees and applicants for employment, without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Altos prohibits unlawful discrimination and harassment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging. Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at https://www.linkedin.com/pulse/how-spot-avoid-online-job-scams-biron-clark/

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: Provide direct supervision to a team of Decision Scientists and Decision Science Leads for assigned business group. Using an interdisciplinary approach of leveraging concepts from business, applied statistics and math, operations research, information technology, process design and behavioral sciences, the incumbent will lead a team of Decision Scientists and partner with the Line of Business (LOB) to produce analytic insights that help the business make informed, data-driven decisions with an objective of driving quantifiable, optimized business results in support of company goals. ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. Responsible for leading a team of Decision Scientists in support of high impact, visible analyses and initiatives across multiple business models, covering banking channels, segments, and products. Responsible for talent acquisition, coaching, and organization of decision science professionals possessing highly technical skills, an understanding of business processes, natural curiosity, and a drive to excellence in pursuit of business optimization and impact. Drive integration of team culture (who we are), connection between analysis and strategic focus (how we win), and consistency in deliverables (what good looks like). Champion the use of tools to solve business challenges and deliver solutions that are timely, accurate, and repeatable. Foster communication and partnership across all levels of the organization including engagement with senior leadership and C-Suite, Truist Executive Leadership Team. Responsible for stewarding relationships, delivering on promises, and building trust with partners while delivering on LOB and company goals. Pursue business outcomes valued through increased revenue and/or efficiency leveraging data-driven insights powered by analytics in support of enhanced decision-making. Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization. Drive decision science projects leveraging quantitative analysis techniques, including machine learning, in pursuit of business optimization and impact. Represent assigned business group in various forums, work streams, and executive reviews. Cultivate relationships with partner federated and hub analytics teams to drive efficient decision science delivery against shared objectives. Exercise sound judgment, risk management, and foster a client centric culture throughout design, development, and deployment practices. Financial Services experience QUALIFICATIONS Required Qualifications: The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The incumbent must demonstrate a combination of academic aptitude, quantitative skills, business acumen, working knowledge of transaction processing application software, application processing systems, and collection inventory systems, strategic and creative thinking, and excellent written and verbal communications skills Bachelor's degree or equivalent education and related training or experience, and 10+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering 7+ years of analytics management experience with a diverse project focus and demonstrated results Must be a people leader, able to manage in a cross-functional and collaborative team environment focused on supporting business partners with enhanced insights Demonstrated ability to engage and manage a diverse set of internal business partners, product sets, and projects, connecting insights with execution and business impact Innovative and strategic thinker with ability to connect to practical application, providing leadership on target initiatives, with a strong bias to action and focus on quantifiable business impact Experience in managing multiple projects with tight deadlines in a collaborative environment, with ability to pivot and align resources to drive maximum impact Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques. Champion application of emerging decision science techniques by supporting teammate training and development and building business partner awareness Incumbent should have an understanding of various database environments (IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization and BI tools (Tableau, MicroStrategy), and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word) Preferred Qualifications: Master's or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering 15+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work. Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace. EEO is the Law Pay Transparency Nondiscrimination Provision E-Verify

RDQ225R487 Job Description Databricks is looking for a Senior Manager, Infrastructure Data Science to shape the future of Databricks infrastructure through data science. You will tackle some of the most complex challenges related to capacity planning, performance optimization, reliability engineering, infrastructure efficiency, and customer experience. You will lead a team of data scientists and work directly in partnership with engineering leaders to empower them with data-driven insights and solutions. At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 7000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. The impact you will have: Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness. Promote a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and support to leverage data science insights for high-impact, aligned strategies. Implement data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reducing downtime and improving system reliability and performance, directly impacting end-user satisfaction and operational continuity. Spearhead analyses to improve resource utilization efficiency, identifying and eliminating inefficiencies across infrastructure usage, resulting in cost savings and optimized performance. Establish data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience and support quality. Mentor and manage a team of data scientists, instilling best practices in data science, engineering, and fostering a collaborative environment focused on innovative, scalable infrastructure solutions. What we look for: 10+ years of infrastructure data science, machine learning, advanced analytics experience in high velocity, high-growth companies 5+ years of management experience hiring and developing teams Experience developing data science, analytics, and machine learning and AI products and capabilities in a cloud environment Knowledge of statistics and rigorous analytical techniques Experience with data visualization tools, knowledge of data engineering, data modeling, and big data technologies Leadership skills and experience to lead across functional and organizational lines Strong communication skills to explain and evangelize analytics and data science to executives and the senior management team Bias to action and passion for delivering high-quality data solutions A passion for problem-solving and comfort with ambiguity MS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering)

SUMMARY/JOB PURPOSE: In collaboration with clinical and project teams of the company, the Associate Clinical Science Director designs, plans and develops clinical evaluation research studies in oncology with focus on solid tumors. This position may assist in or prepare and author clinical development related documents including study synopses and protocols. Summarizes study results for preparation of documents and publications. Supports project teams with scientific information and provides progress updates related to the assigned clinical studies. Must have experience with clinical studies in oncology. Essential Duties And Responsibilities: In collaboration with the clinical teams for a specific product candidate, designs, prepares and initiates study protocols and other required documentation in compliance with project plans, federal regulations, GCP and good medical practice. Conducts appropriate literature research for the assigned clinical product candidate. Works with medical monitor to enable interaction with clinical sites and thought leaders in oncology to assist sites in efficient completion of clinical trials Collaborates with clinical operations and other internal study team members to develop Informed Consent Forms, Case Report Forms, and CRF instructions. Collaborates with clinical operations and other team members in the development of agendas, training materials, and presentation for site visits, investigator meetings, and other study related venues Participates in internal safety meetings, analyzes, and reports potential safety events in coordination with medical monitor. Collaborates with team members in clinical review and interpretation of study data in support for preparation of reports for health authorities including regulatory filing documentation and study close-out reports. Helps to write and/or review product specific abstracts, publications, and supports the development of presentations for scientific meetings. Proactively provides feedback on emerging clinical and competitive trends. Delivers high quality scientific presentations on Exelixis investigational agents to physicians and other key external customers. Maintains clinical and technical expertise in the therapeutic area of Oncology. Supervisory Responsibilities: None EDUCATION/EXPERIENCE/KNOWLEDGE & SKILLS: Education/Experience: Pharm.D., PhD, or M.D. or equivalent education and a minimum of five years of related experience. Equivalent combination of education and experience. Experience/The Ideal for Successful Entry into Job: Three to Five years of clinical development experience in the biotechnology or pharmaceutical industry or a combination of academia and industry. Participated in clinical oncology studies with molecular targeted or immunological therapies. Knowledge/Skills: Detailed knowledge of clinical trial implementation and drug development process. General knowledge of other related disciplines in the execution of clinical trials. Identifies and implements methods and procedures to achieve results with high quality. Performs a variety of complicated tasks with a wide degree of creativity and latitude. Has understanding and wide application of technical principles, theories, concepts, and techniques. Applies strong analytical and business communication skills. Highly organized and able to work under tight timelines Good public speaking and presentation skills JOB COMPLEXITY: Works on complex problems where analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques, and evaluation of criteria for obtaining results. Uses professional concepts and company's policies and procedures to solve a wide range of difficult problems in imaginative and practical ways. Networks with key contacts outside own area of expertise. Working Conditions: 10-25% travel requirement. #LI-JD1 If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The base pay range for this position is $158,000 - $224,500 annually. The base pay range may take into account the candidate's geographic region, which will adjust the pay depending on the specific work location. The base pay offered will take into account the candidate's geographic region, job-related knowledge, skills, experience and internal equity, among other factors. In addition to the base salary, as part of our Total Rewards program, Exelixis offers comprehensive employee benefits package, including a 401k plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. Employees are also eligible for a discretionary annual bonus program, or if field sales staff, a sales-based incentive plan. Exelixis also offers employees the opportunity to purchase company stock, and receive long-term incentives, 15 accrued vacation days in their first year, 17 paid holidays including a company-wide winter shutdown in December, and up to 10 sick days throughout the calendar year. DISCLAIMER The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

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.

About the Role The Sr Director role will head Pre-Clinical Science function and will be an important leader in helping to develop and build the eye care pipeline at Tarsus. They will be responsible for bringing the non-clinical toxicology, PK and bioanalysis expertise in defining the clinical/translational strategy for pipeline projects. The role starts with strong partnership with our Innovation Lab function and continues through the program development with key focus on safety/PK risk assessment and meeting regulatory requirements for approval. As a nonclinical subject matter expert, the Sr Director will be responsible for the overall strategy and execution of the nonclinical toxicology/PK program, collaborating cross-functionally with project leads, providing data interpretation at various internal venues, and authoring regulatory documents. Let's talk about some of the key responsibilities of the role: Collaborate with key experts across the company including Clinical Development, Regulatory Affairs, CMC and Innovation lab to appropriately advise on non-clinical strategy for early POC trials as well as to appropriately meet global regulatory requirements. Establish key relationships with consultants and CROs to conduct the studies, Build non-clinical functional capabilities with a hybrid model of internal and external resources that is scalable. MAIN RESPONSIBILITIES Collaborate with Innovation Lab and BD (on due diligences) to develop integrated Safety Assessment, Toxicology and PK program strategies. Lead the conduct, interpretation and reporting of Toxicology, PK and other relevant non-clinical studies/data. Critically evaluate toxicology results and provide strategic guidance to project teams and senior management on the potential impact of toxicology results on Program and Clinical/Regulatory strategy. Develop experimental strategy to understand the mechanisms of toxicity as needed Responsible for the preparation of Safety Pharmacology and Toxicology sections of regulatory documents (IND, CTA, NDA, BLA, briefing books, Investigator brochures, etc.) Interface with regulatory agencies as required Responsible for the preparation of data summaries and presentations of results to internal and external stakeholders, as required. Responsible for building and maintaining effective CRO and consultant relationships that support the execution of non-GLP and GLP toxicology/biodistribution studies. Review study protocols and draft study reports, providing feedback as needed and responsible for report finalization. Develop and implement SOPs to guide functional activities. Oversee the development of the nonclinical regulatory strategy, design of experiments, interpretation of data and oral and written presentation of results. Oversee the review and approval of all preclinical protocols and final reports for nonclinical development studies and ensure data quality and integrity for preclinical sites. Effectively communicate preclinical findings to project teams, senior management, regulators and other external partners. Provide technical support to various departments within the company with respect to safety assessment, PK and toxicology Due diligence Bring scientific expertise to due diligence in collaboration with BD team, identify main risks and mitigation plan in their area of expertise. Build open relationships with peers and external partners to ensure best decision making. Clearly identify risks and mitigation plans. Ensures team contribution to clinical and regulatory development plan. Factors for Success: Minimum Requirements/Qualifications: PhD degree in pharmacology, toxicology or related field with 15+ years' experience in the pharmaceutical or industry setting. Experience in ophthalmology product development and understanding ocular safety risk is highly desired. Outstanding organizational and interpersonal skills, and outstanding ability to manage relationships and influence others. Proven experience in designing non-GLP and GLP safety studies. Demonstrated ability to work closely with CROs and provide close oversight of vendors, budget planning and coordination. Hands on experience in relevant laboratory techniques. Willingness to be both a strategic leader and hands-on problem solver. Experience allocating resources and managing budgets. Proven knowledge of FDA regulations. Superior oral and written communication skills are required, and the ability to work effectively with senior management. Strong analytical and scientific writing skills. Strong creativity, independent thinking and results orientation is required. Must have high ethical standards and impeccable integrity. Strong people leadership abilities, including inspiring and motivating a high performing team, setting clear direction, enabling cross-functional collaboration, empowering people, and developing and coaching talent. Ability to understand stakeholder concerns and frame issues/proposals to influence decision making. Superior knowledge and understanding of emerging research, mechanisms of action and disease models in anterior and posterior segment eye care diseases, preclinically and clinically is desired. Knowledge of the clinical landscape in ophthalmology indications with good understanding of novel agents and impact to this landscape. Superior interpersonal skills, diplomacy, and positive-influencing abilities. Leadership ability to drive decision-making within a multi-disciplinary, matrix teams. Scientifically independent. Enterprise and entrepreneurial mindset. Preferred experience/background: Track record of success and measurable contribution in moving ophthalmology therapeutic programs forward through preclinical and/or clinical development in an academic or industry setting. Experience in research and/or development of anterior and/or posterior eye care segment therapies. A Few Other Details Worth Mentioning: The position will be based in our beautiful Irvine office, complete with a courtyard, snacks, drinks, and occasional catered meals. We provide a hybrid work environment. Remote work is an option. We are passionate about our culture! Our Tarsans live our values of commitment to patients, empowerment to champion innovation, and teamwork to amplify impact! This position reports directly to our SVP, Development Some travel may be required - up to 20% At Tarsus, we understand the importance of attracting and retaining top talent. The expected base pay range for this position is $217,500 - $304,500 plus bonus, stock equity, and comprehensive benefits. The base pay range reflects the target range for this position, but individual pay will be determined by additional factors such as job-related skills, experience and relevant education or training. Our benefits include health, dental and vision insurance benefits to ensure your well-being. We believe in work-life balance and offer generous paid time off, including vacation, holidays, and personal days. For more details regarding Tarsus benefits, please visit: https://alliantbenefits.cld.bz/25tarsusbenesnap . #LI-Hybrid #LI-Remote

About the Role The Medical Science Liaison (MSL) reports to our National Director of Field Medical. MSLs are field-based healthcare professionals to our customers. They will engage in compliant scientific exchange and provide whole practice education on disease state and respond to inquiries related to our products. Let's talk about some of the key responsibilities of the role: Manage key opinion leader (KOL) optometrists and ophthalmologists in a designated region, ensuring compliant conduct per PhRMA and Tarsus guidelines. Be the primary medical affairs KOL point of contact for day to day needs and peer-based scientific exchange, adhering to our Tarsus scientific platform; engagements may include both virtual and live interactions. Collect actionable insights from field scientific exchange, prioritize and collate these insights to shape medical strategy. Provide whole practice education to optometric and ophthalmic centers. Provide resources to facilitate disease state education in Optometry schools and Ophthalmology residency programs. Instruct customers (upon request) on investigator initiated trial and medical information procedures. Compliantly identify and recommend KOLs for a variety of projects (including advisory boards, medical education initiatives, training, publications, special projects, clinical trials, business development evaluations) based on expertise, interests, and competencies. Plan KOL engagements and schedule and attend scientific sessions at local, regional and national medical meetings as needed. Liaise with local and regional optometric and ophthalmic medical societies Present scientific evidence to the payer community. Provide leadership and expertise on medical affairs projects and initiatives. Participate in continual optimization of training, insights gathering and field medical processes. Host local disease state scientific exchanges and "lid+lash labs." Participate in compliant and collaborative engagements with cross-functional team members including training and KOL meetings. Provide clinical trial support as needed and determine by the clinical development team. Manage territory budget, metrics, KOL mapping and CRM entries. Factors to Success Doctorate of optometry, or MD, PharmD, PhD with eye care expertise required. 3+ years of experience as a medical science liaison in eye care is preferred; or 3+ years of clinical experience in eyecare with at least one year of industry experience or 7 + years of clinical practice in eyecare. Strong emotional intelligence and presentation skills. Ability to plan, organize, manage, and prioritize workload proactively in a fast-paced environment. Ability to navigate systems and processes including Microsoft Office and customer relationship management software, work independently, and be self-motivated. Ability to collect actionable insights and critically analyze data. Ability to influence and collaborate with peers. Strong verbal and written communication skills to convey technical and clinical information. A Few Other Details Worth Mentioning: Territory includes: OH, Detroit Metro area, KY, and Western PA The position will be field based with candidates ideally located in: OH hub (Cleveland, Cincinnati, or Columbus). The position is field based and requires travel 60-80% of the time. The candidates must live in their assigned territory, preference will be given to candidates who reside within 45 minutes of a major airport / major metropolitan area. We are passionate about our culture! Our Tarsans live our values of commitment to patients, empowerment to champion innovation, and teamwork to amplify impact! This position reports directly to our National Director of Field Medical. At Tarsus, we understand the importance of attracting and retaining top talent. The expected base pay range for this position is $131,200 - $183,800 plus bonus, stock equity, and comprehensive benefits. The base pay range reflects the target range for this position, but individual pay will be determined by additional factors such as job-related skills, experience and relevant education or training. Our benefits include health, dental and vision insurance benefits to ensure your well-being. We believe in work-life balance and offer generous paid time off, including vacation, holidays, and personal days. For more details regarding Tarsus benefits, please visit: https://alliantbenefits.cld.bz/25tarsusbenesnap . #LI-Remote

TBD This position requires candidates to obtain a Level 2 Security Clearance in accordance with U.S. government regulations. As such, only U.S. citizens or permanent residents (Green Card holders) are eligible to apply. Critical Mass is an equal opportunity employer. The Critical Mass Talent Acquisition team will only communicate from email addresses that use the URLs criticalmass.com, omc.com and us.greenhouse-mail.io. We will not use apps such as Facebook Messenger, WhatsApp, or Google Hangouts for communicating with you. We will never ask you to send us money, technology, or anything else to work for our company. If you believe you are the victim of a scam, please review your local government consumer protections guidance and reach out to them directly. If U.S. based: https://www.consumer.ftc.gov/articles/job-scams#avoid If Canada based: https://www.canada.ca/en/services/finance/consumer-affairs.html If U.K. based: https://www.gov.uk/consumer-protection-rights If Costa Rica based: https://www.consumo.go.cr/educacion_consumidor/consejos_practicos.aspx

PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses. Join us. At PagerDuty, you'll tackle complex problems, collaborate with kind and ambitious people, and help build a more equitable world—all in a flexible, award-winning workplace. PagerDuty is seeking a Director, Data Science (IT) to build and lead a world-class data science function in the IT Organization. In this role, you will shape the team’s vision, foster an inclusive and high-performing culture, and drive impactful data science and advanced analytics initiatives across the organization. You will work closely with cross-functional partners to address complex challenges and embed data science into our core data analytics, services, and operations. You’ll partner cross-functionally with Business teams across Sales, Marketing, Customer Success, Product, and Finance leaders to ensure we’re aligned and scalability is built in adopting data science models & operations. This role is both business-facing and deeply technical. Your primary responsibility is to understand business use cases and proactively propose innovative ways of working using generative AI. As a technologist, you’ll lead a team to implement solutions that transform data analytics. You may have prior experience working in business teams, and you will play a key role in building and scaling a team that brings data and GenAI-powered insights to life across the company. Key Responsibilities Define and lead the data science vision, strategy, and roadmap in alignment with business goals and measurable outcomes. Act as a strategic advisor and thought leader, identification, rollout & championing the adoption of AI/ML across the organization. Build, mentor, and lead a high-performing, collaborative team of IT data scientists, IT Data Product Managers, and IT data engineers. Partner closely with Sales, Product, Marketing, Customer Success, Engineering, and other teams to drive impactful data science initiatives. Develop new ideas, brainstorm with Business partners on how the latest innovations in AI can improve business performance. Serve as a bridge between technical teams and business units, ensuring alignment on priorities, deliverables, and strategic value. Deliver clear, compelling insights to both technical and non-technical audiences through storytelling and data visualization. Present findings and strategic recommendations to senior and executive stakeholders to influence high-level decisions. Oversee the full lifecycle of machine learning models, including development, validation, deployment, monitoring, and continuous improvement. Collaborate with Data Engineering to design scalable, well-defined data assets, features, and metrics that support evolving analytical and product needs. Establish and promote best practices in experimentation, modeling, data governance, and model reproducibility. Ensure robust documentation, version control, and transparency across all projects to support sustainability and auditability. Basic Qualifications : 10+ years of experience in Business Data analytics, Data Science roles in B2B SaaS. Proven track record of building and leading high-impact data science teams. Proven experience deploying machine learning models at scale in production environments. Familiarity with modern data stacks: cloud data warehouses. (Snowflake/Databricks/AWS), BI Tools, orchestration tools, and MLOps platforms. Exceptional communication and storytelling skills. You can simplify complexity and influence at all levels. Preferred Qualifications: Bachelor's in a quantitative field such as Computer Science, Statistics, Mathematics, or similar, with an advanced degree (Master's degree or higher) preferred. PagerDuty is a flexible, hybrid workplace. We embrace and encourage in-person working as an integral part of our culture. Both our employees and external research tells us that co-located collaboration strengthens connections, drives innovation, and accelerates learning. This role is expected to come into our San Francisco office 2 days per week , so you can thrive in your new role and fully embrace being a Dutonian! The base salary range for this position is 212,000 - 356,000 USD. This role may also be eligible for bonus, commission, equity, and/or benefits. Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience. Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process. Hesitant to apply? We encourage you to submit your resume even if you don't meet every requirement. We value potential and consider each candidate's full professional story. Whether you're exploring a career change or taking your next step, we look forward to reviewing your application. If this just isn’t the right role or time - sign up for job alerts ! Where we work PagerDuty operates a hybrid work model with offices in 8 major cities: Atlanta, Lisbon, London, San Francisco, Santiago, Sydney, Tokyo, and Toronto. While we offer flexibility within our established locations, we cannot employ candidates residing in: Location restrictions: Australia: Northern Territory, Queensland, South Australia, Tasmania, Western Australia Canada: Alberta, Manitoba, Newfoundland, Northwest Territories, Nunavut, PEI, Quebec, Saskatchewan, Yukon United States: Alaska, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Oklahoma, Rhode Island, South Dakota, West Virginia, Wyoming Candidates must reside in an eligible location, which vary by role. How we work Our values guide how we support customers, collaborate with colleagues, develop products, and foster a culture of belonging. They define not just our actions, but what it means to be Dutonian. People Leaders at PagerDuty are responsible for creating high performance environments that drive accountability. PagerDuty has four key dimensions that define our Leadership Impact: Lead Self, Lead the Team, Lead the Business, and Lead the Future. Each dimension has three associated competencies to give leaders a shared language for guiding their development, career, promotion, and succession planning discussions. Our Manager Expectations serve as a practical guide for managers to understand their responsibilities, prioritize their efforts, and drive engagement and performance. What we offer As a global organization, our total rewards approach is competitive with industry standards and aligned with local laws and regulations. Learn more, including country-specific offerings, on our benefits site . Your package may include: Competitive salary Comprehensive benefits package Flexible work arrangements Company equity* ESPP (Employee Stock Purchase Program)* Retirement or pension plan* Generous paid vacation time Paid holidays and sick leave Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent (some countries have longer leave standards and we comply with local laws)* Paid volunteer time off: 20 hours per year Company-wide hack weeks Mental wellness programs *Eligibility may vary by role, region, and tenure About PagerDuty PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. The PagerDuty Operations Cloud is an AI-powered platform that empowers business resilience and drives operational efficiency for enterprises. With a generative AI assistant at its core, PagerDuty empowers teams to detect and resolve issues in real time, orchestrate complex workflows, and drive continuous improvement across their digital operations. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses PagerDuty is Great Place to Work-certified™, a Fortune Best Workplace for Millennials, a Fortune Best Medium Workplace, a Fortune Best Workplace in Technology, and a top rated product on TrustRadius and G2. Go behind-the-scenes on our careers site and @pagerduty on Instagram. Additional Information PagerDuty is an equal opportunity employer. PagerDuty does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status. Your privacy is important to us. By submitting an application, you confirm that you have read and understand PagerDuty's Privacy Policy . PagerDuty is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. Should you require accommodation, please email accommodation@pagerduty.com and we will work with you to meet your accessibility needs. PagerDuty uses the E-Verify employment verification program.

WHOOP is an advanced health and fitness wearable on a mission to unlock human performance and healthspan. We empower our members to improve their health and perform at higher levels by providing deep insights into their bodies and daily lives. The Health Data Science team develops novel algorithms and features that expand WHOOP’s health capabilities, spanning women’s health, regulated medical features, wellness monitoring, longevity research, and emerging health insights. By combining continuous physiological data with clinical research and data science expertise, we deliver features that are both scientifically rigorous and deeply impactful for our members. As a Data Science Manager on the Health team, you will lead a team of data scientists and research scientists driving projects critical to WHOOP’s success. You’ll balance program execution with people leadership, ensuring the team delivers impactful health features while fostering professional growth. RESPONSIBILITIES: People Management: Mentor, coach, and develop a high-performing team of data scientists and research scientists. Provide guidance on career growth, skill development, and performance improvement. Program Management: Oversee the execution of multiple data science projects within the Data Science Health Team. Ensure projects are delivered on time, within budget, and to the highest quality standards. Resource Allocation: Optimize resource allocation to maximize team efficiency and project outcomes. Coordinate with other departments to secure necessary resources and support for team initiatives. Roadmapping: Collaborate with cross-functional stakeholders to develop and maintain a comprehensive roadmap for the Health Team's data science initiatives. Ensure alignment with company objectives and market trends. Dependency Management: Identify and mitigate dependencies across projects to minimize risks and ensure smooth execution. Proactively communicate with stakeholders to manage expectations and resolve conflicts. Team Support: Act as a supportive leader, fostering a collaborative and inclusive team culture. Provide guidance and assistance to overcome challenges and achieve team goals. Communication: Serve as a primary point of contact for communicating project status, risks, and opportunities to senior leadership and stakeholders. Facilitate effective communication within the team to ensure clarity and alignment. QUALIFICATIONS: Bachelor's Degree in Data Science, Mathematics, Statistics, Computer Science, or a related field, Master’s or PhD preferred. Proven experience (5+ years) managing data science teams or similar technical teams in a fast-paced environment. Excellent communication and interpersonal skills, with the ability to build strong relationships with cross-functional teams and stakeholders. Strong understanding of data science methodologies, tools, and techniques, with the ability to provide high-level technical guidance. Exceptional leadership and management skills, with a track record of developing and motivating individuals to achieve their full potential. Strategic thinker with the ability to prioritize initiatives, allocate resources effectively, and drive results in line with business objectives. Experience in the healthcare or wearable device industry is a plus. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

About Outreach Outreach, founded in 2014, is the only complete AI Revenue Workflow Platform that helps sales leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. Outreach infuses agentic AI to power 100s of use cases across sales motions. From new logo prospecting to renewal and expansion, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Global organizations use Outreach to power their revenue teams, including SAP, Siemens, Snowflake, ZoomInfo, and Verizon to name a few. To learn more, please visit www.outreach.io . About the Team Our mission at the Dialog Understanding and Generation team is to build the most advanced AI assistants in the sales engagement domain, empowering customers to optimize their interactions with prospects. Our team is at the forefront of AI innovation, driving current and future AI initiatives through a blend of machine learning and cloud service development. We are a team of applied data scientists who thrive on tackling both scientific and engineering challenges. You'll work closely with top-tier engineers and product managers in a collaborative and high-impact environment, gain hands-on experience with the latest machine learning and cloud services technologies that keep you at the cutting edge of the field. You'll have the opportunity to leverage your creativity and expertise to overcome tough challenges that require innovative solutions. Your Daily Adventures Will Include Working with voice streams and real-time transcriptions of voice streams to extract intelligence and actionable insights Analyzing the relevance of extracted intelligence, performance of the extraction algorithms, and evaluating the performance of third party voice processing APIs Finding ways to engineer high availability into a system that has lots of moving parts, not all of which are directly under your control Working with stakeholders to make sure our customers have the tools they need to be successful on our platform Finding quick ways to prototype and test possible solutions to large problems Looking up and down the stack for the best return on investment for any given pain point Working on one of the most visible parts of Outreach’s product - to both our customers and the rest of our organization Basic Qualifications 10+ years of experience shipping production quality code in Java, Go or C++, along with strong software engineering skills 4 years of Management experience A strong background in statistics and passion for data are essential for success in this role Experience programming in Python, Java or Go or C++, along with strong software engineering skills Experience with cloud-based service applications Experience with data and model pipelines Familiar with continuous-deployment projects Willing to go above and beyond to help other team members Ability to prioritize details along a path of iterative delivery Ability to quickly ramp up new technologies and start contributing The annual base salary range for this role is $210,000-$290,000 USD. You may also be offered incentive compensation, bonus, restricted stock units, and benefits. Actual compensation is based on factors such as your skills, qualifications, and experience. We also have a location-based compensation structure; there may be a different range for candidates in other locations. #LI-JM1 Why You’ll Love It Here Flexible time off 401k to help you save for the future Generous medical, dental, and vision coverage for full-time employees and their dependents A parental leave program that includes options for a paid night nurse, and a gradual return to work Infertility/ assisted reproductive services benefit Employee referral bonuses to encourage the addition of great new people to the team Snacks and beverages in the Office, along with fun events to celebrate Diversity and inclusion programs that promote employee resource groups like Outreach Women's Network, Latinx community, Outreach Black Connection, AAPI community, Pride/LGBTQIA+, Gender+, Disability Community, and Veterans/Military Outreach is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Our success is reliant on building teams that include people from different backgrounds and experiences who can elevate assumptions and ideas with fresh perspectives. We're dedicated to hiring the whole human, not just a resume. To that end, we look for a diverse pool of applicants-including those from historically marginalized groups. We would like to invite you to apply even if you don't think you meet all of the requirements listed below. We don't want a few lines in a job description to get between us and the opportunity to meet you.

IGNITE CURIOSITY, INSPIRE DISCOVERY! At Queen City Academy Charter School, we're not just teaching science—we're nurturing the next generation of innovators, problem-solvers, and critical thinkers. As our Middle School Science Teacher, you'll spark wonder in young minds while building the foundation for lifelong scientific literacy and STEAM excellence in our growing K-12 community. THE QUEEN CITY DIFFERENCE Our small, family-like environment offers what other schools can't: Competitive salary range: $59,000 - $60,065 Plainfield's first charter school with a proven track record of success Collaborative faculty and administration working together for student excellence Supportive, collegial setting that values professional growth Deeply engaged parent partners committed to their children's success Mission-driven culture focused on creating generational change YOU'LL THRIVE HERE IF YOU: Design and deliver dynamic science instruction that follows curriculum maps while inspiring genuine excitement for discovery Create engaging units and daily lesson plans that transform abstract concepts into hands-on learning experiences Prepare innovative class projects and activities that make science come alive for middle school learners Provide timely, meaningful feedback on student work to ensure mastery and build confidence Collaborate with colleagues to identify cross-curricular opportunities that connect science to real-world applications Maintain regular, positive communication with parents about schedules, assignments, events, and individual student progress Participate actively in parent conferences, building strong school-home partnerships Keep accurate grades and curriculum assessments using online platforms Attend weekly faculty meetings and curriculum sessions, contributing your expertise to school-wide improvement Demonstrate infectious enthusiasm for science, engineering, and STEAM that ignites passion in students Work as a collaborative team player with teaching colleagues and administration Embrace Queen City Academy as a true community, supporting school events and activities Commit to continuous professional development through workshops, school visits, and webinars Integrate new technologies and pedagogical approaches to enhance student learning Model the self-discipline, ethical behavior, and excellence we expect from our scholars Build positive relationships with students, ensuring they feel seen, valued, and encouraged to explore Demonstrate cultural sensitivity and communicate effectively across lines of difference QUALIFICATIONS: Bachelor's degree (minimum requirement) Valid New Jersey Teaching Certificate or Certificate of Eligibility (we provide guidance on full certification) Proof of passing required PRAXIS tests Mastery of middle school science content and pedagogical best practices Cultural sensitivity and ability to communicate effectively with diverse families and students Team-oriented mindset with high expectations for student achievement Understanding of middle school child development and age-appropriate instruction Enthusiasm for science, engineering, and STEAM education Commitment to Queen City Academy's mission of creating lifelong learners and critical thinkers Strong work ethic and willingness to go above and beyond for student success ABOUT US: Queen City Academy Charter School is Plainfield, New Jersey's first charter school, proudly serving scholars in grades K-12. Our mission is to create lifelong learners and transform lives by developing critical thinkers and leaders who drive generational success. We believe that teachers are our most treasured assets, and we seek educators with an immediately discernible passion for helping children meet their highest potential. JOIN OUR TEAM: Ready to inspire the next generation of scientists and innovators? Apply today and become part of a school community where curiosity thrives and discovery never ends. Equal opportunity employer. Where people enter to learn and work, but experience the fulfillment of a family atmosphere. Powered by JazzHR

Avant Tech is looking for a talented Computer Science Patent Attorney to join our thriving technology law practice. The successful candidate will provide sophisticated legal counsel to clients in the software, hardware, and data science sectors, focusing on patent prosecution and intellectual property strategy. This role will involve working with leading tech companies to protect innovations and navigate complex patent issues. Key Responsibilities: Prepare, file, and prosecute patent applications in the area of computer science and related technologies. Conduct patentability assessments and provide strategic advice to clients regarding patent rights. Assist clients with IP litigation and enforcement matters as needed. Collaborate with inventors to collect and analyze technical information for patent applications. Stay current with developments in patent law and technology trends to provide informed counsel. Participate in client meetings, provide training on IP issues, and represent clients in front of the USPTO. Requirements Juris Doctor (JD) from an accredited law school with excellent academic credentials. Must be a member in good standing of a state bar. Experience in patent prosecution of computer science-related technologies, preferably with 3-6 years in a big law firm or corporate environment. Technical background in computer science, electrical engineering, or a closely related field is required. Strong understanding of patent law, including the America Invents Act (AIA) and related regulations. Excellent writing, analytical, and interpersonal skills. Strong project management skills, with an ability to handle multiple priorities and deadlines. Benefits Competitive Salary Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Work From Home Wellness Resources

TPAPT, a national nonprofit consortium of over 12,000 locally owned and operated Tutoring & College Advising Programs, is seeking experienced AP Computer Science instructors to work with students in grades 9-12. Tutors will work closely with students to understand their unique learning styles and create customized lesson plans that support their individual academic goals. The ideal candidate is passionate about education, exhibits strong communication skills, and has instructed or tutored these specific AP courses in the past. Company: TPAPT Chapter Tests: AP CS Classification: Contract Compensation: $30-$35/hr Location: Online The Position: Provide AP Test Prep Tutoring to students in grades 9-12 Tutoring assignments are 60-90 minutes Tutoring assignments will be regular and reliable Tutoring sessions are generally scheduled between 2PM and 8PM PST during the week and between 10am - 4pm on weekend days To Apply: Submit a resume which highlights the subjects you tutor and the length of time you have been tutoring (or teaching) in a paid capacity. Requirements 2 years of experience teaching or tutoring Collegeboard's AP Computer Science program 3-12 hours per week of availability Earned Bachelor's Degree Exceptionally strong communication skills A passion for helping others learn Benefits $30-$35/hr. commensurate Flexible schedule No marketing

Job Title : Data Science Lead Location : Los Angeles, CA Type : 3 + Months Rate : $Open (Best Possible) Core Requirements Bachelor’s degree in Computer Science or related field preferred. 7+ years of professional experience A focus on hardware is going to be key. Experience in GPU programming models, such as OpenCL or CUDA. Experience with cross platform model compilers like ngraph, XLA, TensorRT, etc. Systems-level experience with Linux Operating System. Previous experience leading assessments or evaluations (proof-of-concept type work). Strong communication skills are required as there is heavy client engagement on a day-day basis. Note: If interested please send your updated resume and include your rate/Salary requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us. We look forward to hearing from you at the earliest!

TPAPT , a national consortium of locally-owned and operated tutoring and college advising programs, is seeking experienced SAT/ACT Section Specialists for tutoring remote live-online tutoring assignments with students in grades 9-12. Tutors should be able to instruct the verbal portion of SAT as well as the Science section of ACT. As an SAT/ACT Tutor you will work with students in grades 9-12, weekdays after school, and part of a weekend day. Requirements 3 - 12 hours per week of availability. Earned Bachelor's degree. 1+ years of experience in test preparation instructing SAT or the ACT. Demonstrated expertise in the SAT and ACT exams, including content and scoring. Experience in lesson planning and online delivery. Excellent analytical and problem-solving skills. Effective communication and presentation skills. Benefits No marketing Flexible schedule $50/hr-$60/hr commensurate