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Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals. We are scientists, engineers, and builders who’ve created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything. About the Role The role of pre-training researchers sits at the core of our roadmap. This work advances the science of how large models learn from data. You’ll explore new pre-training methods, architectures, and learning objectives that make model training efficient, robust, and aligned with human goals. This role blends fundamental research and practical engineering, as we do not distinguish between the two roles internally. You will be expected to write high-performance code and read technical reports. It’s an excellent fit for someone who enjoys both deep theoretical exploration and hands-on experimentation, and who wants to shape the foundations of how AI learns. Note: This is an "evergreen role" that we keep open on an on-going basis to express interest in this research area. We receive many applications, and there may not always be an immediate role that aligns perfectly with your experience and skills. Still, we encourage you to apply. We continuously review applications and reach out to applicants as new opportunities open. You are welcome to reapply if you get more experience, but please avoid applying more than once every 6 months. You may also find that we put up postings for singular roles for separate, project or team specific needs. In those cases, you're welcome to apply directly in addition to an evergreen role. What You’ll Do Research and develop new methodologies for pre-training. Work in areas such as scaling, architecture, algorithms, or optimization of large scale training runs depending on your research interest and experience. Design data curricula and sampling strategies that improve learning dynamics and model generalization. Collaborate with infrastructure and data teams to conduct large-scale experiments efficiently and reproducibly. Publish and present research that moves the entire community forward. Share code, datasets, and insights that accelerate progress across industry and academia. Skills and Qualifications Minimum qualifications: Ability to design, run, and analyze experiments thoughtfully, with demonstrated research judgment and empirical rigor. Experience with distributed or high-performance computing environments. Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX). Comfortable with debugging distributed training and writing code that scales. Bachelor’s degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding. Clarity in communication, an ability to explain complex technical concepts in writing. Preferred qualifications — we encourage you to apply even if you don’t meet all preferred qualifications, but at least some: A strong grasp of probability, statistics, and ML fundamentals. You can look at experimental data and distinguish between real effects, noise, and bugs. Prior experience training or analyzing large-scale models, or contributing to pre-training or foundation model research. Strong publication record or open-source contributions in representation learning, optimization, scaling laws, or other areas of pre-training. Familiarity with curriculum learning, data selection, or active learning techniques. Experience designing or maintaining evaluation frameworks for large models. Contributions to open datasets, research publications, or data tooling. PhD in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding; or, equivalent industry research experience. Logistics Location: This role is based in San Francisco, California. Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD. Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together. Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed. As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

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 yearSick 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 yearHoliday pay, including Floating Holidays –13 days per calendar yearWork, Personal and Family Time - up to 40 hours per calendar yearParental Leave – 480 hours within one year of the birth/adoption/foster care of a childBereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar yearCaregiver Leave – 80 hours in a 52-week rolling period10 daysVolunteer Leave – 32 hours per calendar yearMilitary Spouse Time-Off – 80 hours per calendar yearhe 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

We are currently looking for OUTGOING and EXCITING people to present MAD SCIENCE SHOWS and PARTIES! Are you looking for a job that's FUN and gives you loads of EXPERIENCE on stage, in the spotlight? Look no further than MAD SCIENCE! For SHOWS you'll visit schools, libraries, camps and more to deliver AMAZING science presentations that will WOW your audiences of 15-250 kids! We provide the training and equipment, and handle all the booking and scheduling from our office. All you do is go have fun with the kids! Shows and parties happen ALL THE TIME! This is a part-time job, but we prefer someone with a flexible schedule who can take on many gigs when given plenty of notice. Requirements: An OUTGOING and DYNAMIC personality Enjoys performing in front of an audience (birthday parties typically 15-25 children) Experience with groups of children ages 4-12 Some experience in theater a plus. Reliable transportation that is not public or ride share A cell phone Excellent verbal communication skills Ability to lift up to 45 lbs Must be available evenings and weekends Knowledge of basic science (don't worry - we'll train the rest!) Lots of ENERGY All employees will be fingerprinted for criminal background check and TB tested Successful candidates are also: Responsible - able to conduct programs safely and efficiently Reliable - always on time, always prepared Adaptable - able to adjust to every environment and group type Professional - comfortable dealing with everyone from parents to principals Flexible - able to function in a business where schedules and workloads are at the mercy of the customer FUN!!! Compensation: $50.00 per hour Mad Science is a powerhouse brand with locations around the globe! For over 35 years, we have sparked imaginative learning through our summer camps, birthday parties, in-class workshops, after-school programs, and special events for kids ages 3-12. Become part of our team and help us inspire the next generation of scientists and engineers. Our locations are always looking for part-time instructors and full-time office staff.

William Blair is seeking graduate students to join our innovative technology team for a 12-week internship program during the summer of 2026. The program is designed to promote technology careers among high performing individuals from underrepresented backgrounds in the technology space, including but not limited to women currently enrolled, or intending to enroll, in a technology related program. Selected participants will have a unique opportunity to explore areas of statistical analysis, machine learning, deep learning, data science, data visualization, and data engineering to support mission critical business use cases. The summer program also includes training, community service, and social events. Responsibilities include but may not be limited to: Work on multiple data science, machine learning and data engineering projects in Azure cloud and SPARK environment Assemble large, complex data sets that meet functional / non-functional business requirements Work with large, complex data sources to derive actionable business insights with an aim of increased ROI Develop, test and deploy predictive models using various machine learning algorithms and translate results into business recommendations Communicate results to business audience through reports, dashboards and presentation Collaborate cross-functionally with business and technical stakeholders to identify & prioritize project requirements Work with data and analytics experts to strive for greater functionality in our data systems Required Technical Skills: Currently pursuing a Master’s Degree in Statistics, Business Analytics, Data Science or Computer Science with anticipated graduation between December 2026 and June 2027 Experience using statistical programming languages (R, Python) to manipulate data and draw insights from large data sets Working SQL knowledge and experience working with relational databases as well as NoSQL databases Knowledge and experience in statistical and data mining techniques Experience working with various machine learning / deep learning algorithms and frameworks Text Mining, NLP and Social Network Analysis Experience with data discovery and visualization tools Hands-on data engineering experience using structured and unstructured data Preferred Technical Skills: A successful history of manipulating, processing and extracting value from large disconnected datasets Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with data pipeline and workflow management tools: Airflow, Azure Data Factory etc. Experience with building processes supporting data transformation, data structures, metadata, dependency and workload management Experience with cloud cognitive eco-system like Azure, AWS

We're excited to provide the best education in the best environment to our students! Academies of Math and Science Middle School Science Teacher Start: Summer 2026Location: 221 W 6th Ave., Mesa, AZ 85210 Compensation: $48,331.25 – $54,571.88 year-round salary (DOE) The Academies of Math and Science (AMS) is a network of top-performing public charter schools in Arizona, dedicated to guiding students through a rigorous, college-preparatory curriculum that prepares them to become tomorrow’s global visionaries. Our academic team is committed to continuous improvement and implementing proven instructional strategies that advance student learning and close achievement gaps. Are you a data-driven, culturally responsive teacher who believes that all students—regardless of background—deserve access to an excellent education? You belong here! Make a difference in the lives of children who may not otherwise have access to high-quality education. Inspire students to set high expectations for themselves, both academically and behaviorally, and help them reach their full potential. Join our Mesa team and help us change the world, one scholar at a time. Responsibilities Use AMS curriculum standards to teach students above and below grade level through differentiated instruction Attend weekly professional development sessions and collaborate in grade-level or content-area professional learning communities Communicate effectively with parents and lead parent-student-teacher conferences to promote student progress and achievement Collaborate with administrators and staff to create a positive, supportive learning environment that addresses academic and behavioral needs Use measurable data to monitor and enrich student progress with visible results Work collaboratively with school and network teams to improve instructional practices and ensure ongoing academic success Use PBIS and preventative intervention strategies to guide students in developing social and emotional skills essential for lifelong learning Minimum Qualifications Passion for helping Title I and ESL students in underserved communities achieve academic success Ability to pass a background check and obtain an IVP fingerprint clearance card Strong analytical skills and enthusiasm for data-driven instruction Adaptability and willingness to implement a rigorous, proven curriculum Collaborative mindset with the ability to take initiative and work as part of a high-performing team Compensation and Benefits At AMS, we reward excellence and offer ample opportunities for professional growth. Our comprehensive compensation package includes: Base salary: $48,331.25 – $54,571.88 year-round (DOE) 401(k) retirement plan with employer match Free medical, dental, short- and long-term disability, and life insurance (valued at $5,328) Optional low-cost vision insurance Performance bonuses averaging $2,200 per year (up to $3,400) Relocation stipends of up to $5,000 for eligible candidates Professional development and coaching throughout the school year Additional stipends averaging $2,300 for afterschool intervention/tutoring and $2,000 for leading clubs or sports Join us to enjoy rewarding challenges and ongoing opportunities!

Department: 85032 Wake Forest University Health Sciences - Academic Biostatistics and Data Science Status: Full time Benefits Eligible: Yes Hou rs Per Week: 40 Schedule Details/Additional Information: Forty hours, generally 9-5 Pay Range $34.90 - $52.35 The Department of Biostatistics and Data Science in the Division of Public Health Sciences at Wake Forest School of Medicine is recruiting to fill multiple biostatistician positions. A master’s degree in biostatistics, statistics, epidemiology, bioinformatics, or a related field is preferred, but candidates with a Bachelor’s degree in statistics/biostatistics or mathematics and strong analytic skills will be considered.Excellent verbal and written communication skills are required.Responsibilities include collaborating with medical investigators on the design, conduct, analysis, and presentation of single- and multi-center research projects and clinical trials.Experience with consulting and statistical programming, especially SAS, Python and/or R, are preferred.Experience with EPIC, FISMA compliance, or RedCAP a plus. Job Summary Under administrative guidance and review, collaborates in designing and monitoring biomedical research projects and assumes primary responsibility for the analysis and presentation of project data. Major Responsibilities Collaborates with biomedical investigators and assist in developing objectives, designing sampling, randomization and data collection procedures to achieve study objectives. Designs tables and statistical procedures for specific research studies. Collaborates with clinic and other personnel, including analyst/programmers in monitoring and assessing data quality. Writes statistical computer programs and reviews computer output for consistency and quality. Analyzes data and prepares tables for interim and final reports. Writes the results section of the reports or publications. Performs other related duties incidental to the work described herein. Education/Experience Master's degree in Biostatistics, Statistics, or Mathematics, or related area. Three years' experience working in a biomedical environment. Experience in analyzing data using statistical package(s). Knowledge / Skills / Abilities Ability to organize data and communicate statistical concepts to non-statisticians Ability to write statistical considerations for grant proposals Work Environment Clean, comfortable, office environment Our Commitment to You: Advocate Health offers a comprehensive suite of Total Rewards: benefits and well-being programs, competitive compensation, generous retirement offerings, programs that invest in your career development and so much more – so you can live fully at and away from work, including: Compensation Base compensation listed within the listed pay range based on factors such as qualifications, skills, relevant experience, and/or training Premium pay such as shift, on call, and more based on a teammate's job Incentive pay for select positions Opportunity for annual increases based on performance Benefits and more Paid Time Off programs Health and welfare benefits such as medical, dental, vision, life, and Short- and Long-Term Disability Flexible Spending Accounts for eligible health care and dependent care expenses Family benefits such as adoption assistance and paid parental leave Defined contribution retirement plans with employer match and other financial wellness programs Educational Assistance Program About Advocate Health Advocate Health is the third-largest nonprofit, integrated health system in the United States, created from the combination of Advocate Aurora Health and Atrium Health. Providing care under the names Advocate Health Care in Illinois; Atrium Health in the Carolinas, Georgia and Alabama; and Aurora Health Care in Wisconsin, Advocate Health is a national leader in clinical innovation, health outcomes, consumer experience and value-based care. Headquartered in Charlotte, North Carolina, Advocate Health services nearly 6 million patients and is engaged in hundreds of clinical trials and research studies, with Wake Forest University School of Medicine serving as the academic core of the enterprise. It is nationally recognized for its expertise in cardiology, neurosciences, oncology, pediatrics and rehabilitation, as well as organ transplants, burn treatments and specialized musculoskeletal programs. Advocate Health employs 155,000 teammates across 69 hospitals and over 1,000 care locations, and offers one of the nation’s largest graduate medical education programs with over 2,000 residents and fellows across more than 200 programs. Committed to providing equitable care for all, Advocate Health provides more than $6 billion in annual community benefits.

Material Specialist - $90/hr Remote - Alignerr - Location: Remote About the job At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. Organization : Alignerr Position : Material Science Expert (Masters/PhDs) Type : Hourly Contract Compensation : $75–$90 /hour Location : Remote Commitment : 10–40 hours/week Role Responsibilities (Training support will be provided) - Develop, solve, and review advanced material science problems with real-world relevance. - Apply expertise in semiconductor materials, molecular modeling, or related areas to design complex problem statements. - Collaborate asynchronously with AI researchers and domain experts to enhance AI model reasoning. - Ensure scientific rigor, clarity, and depth across all deliverables. Requirements - Master’s or PhD in Material Science from a top U.S. university (or equivalent). - Experience coding in Python or MATLAB for research or projects. - Strong expertise in semiconductor materials or molecular modeling. - Exceptional written and verbal communication skills with strong attention to detail. - Fluent in English and currently based in the U.S., Canada, New Zealand, U.K., or Australia. Preferred : - Prior experience with data annotation, data quality, or evaluation systems Application Process (Takes 15-20 min) - Submit your resume - Complete a short screening - Project matching and onboarding PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. $75 - $90 an hour

Sylvan Learning is the industry leader in providing supplemental education to children in pre-kindergarten through 12th grade. With over 40 successful years in the business, we guarantee positive educational results every step of the way. Our passionate instructors are certified, and our expert approach is personal and prescriptive, with each individual child's needs in mind. Our talented employees experience daily the impact they make. We're an organization that prides itself in instilling knowledge and confidence in each customer we benefit! Join us, and be inspired! We are currently looking for Chemistry, Physics and Upper Level Math teachers. As a part-time Sylvan Instructor, you will be trained on the Sylvan curriculum and given the tools to teach in a small group, 3:1 setting. Evening and weekend hours available. If you aspire to inspire, then we want you on our team. As a successful teacher you will: Teach using Sylvan based programs Supervise, interact with and motivate students during instruction hour while they work with equipment and materials Reward students for completed assignments Evaluate and document student progress Communicate student needs to the center director Inspire Students Develop rapport with students and establish a fun learning environment Maintain a positive attitude and demonstrate enthusiasm for teaching and Sylvan Requirements: Bachelor's Degree or higher required in a Math or Science Advanced knowledge and familiarity with teaching or tutoring in any of the following areas: Chemistry, Physics, Calculus, Algebra 1 & 2, Geometry and Trigonometry Teaching or tutoring experience preferred Strong communication skills and the ability to multi-task What you get in return: Strong ongoing leadership skills and job mastery will result in cross training for future administrative and leadership roles Flexible part-time hours (weekday afternoon/evenings and Saturday morning) Professional development opportunities through extensive Sylvan online training Sylvan directors manage parent conferences, lesson planning and preparation, so you can focus on the best part: helping students succeed!

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-$160,000NYC/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.

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 i nnovative 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 with in the R&D Data Science & Digital Health team s 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. A dditional valued qualifications : Deep n euroscience d omain e xpertise : in-depth knowledge of neurodegenerative , neuropsychiatric and ophthalmic diseases , clinical development , a nd trial design challenges Expertise in wearables & digital health technologies : de veloping and validat ing digital biomarkers , integrating wearables into clinical trials , designing clinical trials with decentralized elements Expe rience 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:

About Us At Rox , we believe in empowering people to do their best work. Our platform supercharges sellers with autonomous revenue agents to do the manual work so they can focus on what they do best: selling. Just as coding agents 10x’d engineering, revenue agents 10x customer work. We are reimagining the revenue stack by building the world’s first revenue operating system, from the application layer to the system of context. With Rox, humans are evolving to orchestrators while agents manage the end-to-end customer lifecycle. Rox powers Global 2000 leaders in banking, hardware, construction, and sovereign AI, while serving dominant AI winners like Ramp and Cognition. Underlying all of this success is a unwavering, shared belief in the mission, with an unreasonable commitment of doing whatever it takes to make it a reality. The Team Nothing is possible without the world-class team, assembled to redefine how businesses operate. Members on our team have: Founded and exited successful companies Held the highest positions at Google, AWS, Confluent, and New Relic Won IMO and IOI gold medals Published field-defining papers We’re backed by the best, having raised $50M from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré. Core Principles Taste: Craft beautiful experiences. No matter how small, we strive to make sure every detail is right. We care deeply about every interaction, both in terms of whether it helps the seller get the job done, but also how the product makes them feel. We get a visceral feeling when something is off and stop at nothing to make sure we make it right. We never settle, continuously exploring ways to delight sellers. Obsession: Commit unreasonably. In all aspects of our craft, we commit. We not only are immediately reactive to customers’ requests but are proactive about driving value even before they ask. We are also obsessive about always learning and honing our craft, improving ourselves and product every single day. Action: Get it done. Talking is easy but the difference comes from the execution. We lean heavily towards making thoughtful yet fast decisions and delivering immediately. We play in a field where trust is paramount. We earn the trust and right to empower the best sellers by forging a history of over-delivering on the promise at record speed. Role As a Data Scientist at Rox, you will power the intelligence layer behind the world’s first revenue operating system. You’ll be responsible for the metrics, insights, and analytical frameworks that shape how we build product, operate as a business, and help our customers transform their revenue organizations. This is a high-ownership, high-leverage role for someone who thrives at the intersection of data, GTM, product strategy, and operational excellence. You will work directly with leadership, engineering, and GTM pods to create clarity, drive decisions, and build the analytical foundations that scale with the company. If you love turning ambiguity into structured insight, building clean data models, and influencing business strategy with evidence, this is the role for you. Responsibilities Build and maintain dashboards, KPIs, and the company-wide single source of truth for revenue, usage, and customer telemetry. Partner with GTM leaders to drive segmentation, funnel insights, measurement of workflow adoption and ROI. Ensure high-quality data foundations through dbt-style modeling, data consistency, instrumentation, and proactive improvement of data pipelines and reporting. Run deep product and usage analytics—including experimentation frameworks—to inform product development, activation, retention, and enterprise rollout success. Deliver strategic analyses and executive-ready insights to support leadership, board materials, and new revenue motions. Create scalable documentation, metric dictionaries, automations, and enablement materials while onboarding teams into Rox’s data ecosystem. Qualifications Required Degree in a quantitative field (e.g., Mathematics, Economics, Computer Science, Engineering, Statistics) 2–5+ years experience in fast-paced, high-growth companies supporting Sales, Finance, or Product Strong SQL and Python skills, able to work efficiently with large, messy datasets Experience working with dbt ecosystems (e.g, paradime, dbt) Experience building dashboards in tools like Sigma, Looker, Tableau, Mode, or equivalent Exceptional analytical rigor and structured problem-solving skills Strong communication skills, able to translate complex data into simple narratives for executives High energy, “no job is too small” mentality, and ability to operate with extreme ownership Ability to context-switch rapidly and thrive in an environment of speed, ambiguity, and high expectations Located in or willing to relocate to San Francisco Preferred Experience working directly with GTM organizations and leadership teams Knowledge of revenue methodologies, KPIs, and operational models Familiarity with data warehousing technologies Experience designing semantic layers and metric governance processes Ability to build minimal data apps, Python scripts, or automations to scale workflows Experience supporting enterprise customers or working with B2B SaaS telemetry datasets Comfort presenting analytical findings to C-suite or enterprise stakeholders Strong intuition for business levers, product adoption mechanics, and experimentation Benefits Competitive pay with considerable equity upside Health Insurance Apply To apply, please fill out the application form. 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United Charter High Schools is committed to academic excellence in a welcoming, safe school environment. We develop, enlighten and challenge a range of learners to critically and creatively solve problems inside their classrooms, in their communities and out in the world. Through a rigorously structured system of teaching and learning, students advance their understanding of science, math and humanities concepts and master content, knowledge and skills, while project-based experiences spark their civic imagination and appetite for advocacy leadership.At any of our 7 charter high schools (Advanced Math and Science / Humanities) across the Bronx, Brooklyn and Queens, students receive personalized academic and social emotional support, have access to a range of clubs, sports teams, leadership opportunities and internships, and maintain a focus on college and career readiness. Summary of Position Position Summary: United Charter High Schools (UCHS) provide all students, regardless of their previous academic history, the highest quality education in an atmosphere of respect, responsibility and rigor. We ensure that our students have the skills and knowledge to graduate ready for college, pursue a career, and engage with the 21st century economy. We develop learning experiences that allow risk-taking, cultivate students' imaginative and creative abilities, and celebrate achievement. Essential Job Functions: All United Charter teachers work with a diverse range of students to develop content knowledge and skills through collaborative classroom work, reading, writing, discussion, and authentic exploration/experimentation. Our vision is that all learners have equal access to educational opportunities where barriers to learning are reduced and learner diversity is recognized, supported, and embraced. Teachers at United Charter schools will: Develop relevant and accessible content-based curriculum Assess student growth through both formal and informal assessment data Build students’ academic and socio-emotional skills Advocate to ensure that students receive appropriate supports Support plans for post-high school transition to ensure quality of life after high school [Content ]Teachers at United Charter schools will: Using art as the basis, demonstrate the ability to model, deliver, and craft rich student-centered learning experiences. Demonstrate the ability to collaborate with other content teams to co-create and implement strategies for weaving Art experiences into multi-disciplinary curricula Be committed to using Art as a tool for students to explore their culture i.e. culturally relevant pedagogical practices and experiences in the classroom and in school activities Approach learning via growth mindset Be reflective, seek feedback, learn from those around them, and effectively apply feedback Secondary Job Functions: Support with school events, including fire drills, scanning, sports, events and emergencies Additional responsibilities as needed consistent with the general nature of the position Support with testing, proctoring and scoring as needed. Required Education and Experience: Bachelor’s degree from an accredited college or university is required; Master’s degree is preferred A valid New York State Certification (in content area) There are limited opportunities for qualified teachers who do not possess a NY State certification to work in one of our Charter High Schools To learn more about NYS Certifications, visit: http://eservices.nysed.gov/teach/certhelp/CertRequirementHelp.do Proven track record for planning lessons with clear learning objectives and a means for assessing whether those objectives have been met Strong organizational and communication skills Demonstrated content knowledge and familiarity with Common Core State Standards Demonstrated success in tailoring instruction to the needs of diverse learners Ability to work collaboratively with others to achieve common goals Experience working with educational technology Disclaimer: The statements herein are intended to describe the general nature and level of work being performed by the employee in this position. These statements are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of a person in this position. A career at United Charter High Schools is a commitment to academic excellence.

At Genmab, we are dedicated to building extra[not]ordinary® futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines® that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals’ unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees. Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so. Does this inspire you and feel like a fit? Then we would love to have you join us! The Role Quantitative Systems Pharmacology (QSP) Modeler will serve as the QSP lead on a number of pre-clinical and clinical development programs. The individual will oversee all aspects of QSP strategies for candidate drug products from early development through late stage development using model-based approaches to improve the efficiency of drug development, and improve our mechanistic understanding, and to support dose selection of clinical candidates. This position’s primary role is to develop and implement QSP models, supporting the development of novel therapies including antibody-drug conjugates (ADC), bispecific antibodies, immuno-oncology agents, and other mechanisms. The successful candidate will collaborate with discovery, preclinical, translational and clinical development as well as other scientists in the Translational and Quantitative Sciences group to develop mathematical models and help understand targeted biological pathways and interactions of novel therapeutic modalities. The candidate is responsible for framing critical questions to establish the right modeling & simulation strategies that enable lead optimization, identify PK/PD relationships, inform dose selection and Go/No Go decisions by utilizing mechanistic QSP models. Essential qualifications include in-depth understanding of cell biology ─ particularly in immunology and oncology ─ and numerical methods, as well as hands-on experience with modeling software, ability to clearly present modeling and simulation findings, and demonstrate ability to thrive in a matrix environment working at the leading edge of technologies. The candidate will design and build models based on preclinical and emerging clinical data as well as leveraging literature sources of data and relevant immuno-oncology and oncology knowledge. The candidate will cultivate data in support of model construction and interpretation, define key issues, and provide simulations of disease, mechanism of action, and (non)clinical studies. The candidate should be driven to use all tools at their disposal (QSP, PK/PD, Machine Learning (ML) and Artificial Intelligence (AI)) to understand the clinical pharmacokinetics and pharmacodynamics of novel drug candidates. The candidate will contribute to best practices on application of QSP and other mathematical or statistical analyses (e.g. artificial intelligence, machine learning, deep learning) across the clinical pharmacology group. This is an exciting opportunity to be part of a passionate, high profile, high-impact Clinical Pharmacology team, and work in a highly dynamic and collaborative setting. Skills & Experience Ph.D/Pharm.D/M.D with training in chemical or biomedical engineering, immunology, pharmaceutical sciences, mathematics, statistics, or equivalent area with 2-5 years of industry and/or academic experience in mathematical modeling of biological systems. Job title is flexible based on experience. Strong competency in applying modeling and simulation related software such as Matlab/SimBiology, Julia, or other domain-specific languages is required. Proficiency with systems modeling approaches such as ordinary, partial, and/or stochastic differential equations, boolean, agent-based, or other advanced mechanistic modeling approaches is essential. Understanding of PK/PD analysis and translational modeling of preclinical PK/PD data, and mechanism-based PK/PD systems using preclinical and/ or clinical data with biologics therapeutics is also required Demonstrated ability and experience in applying modeling and simulation approaches to enable rational and efficient preclinical and clinical drug development are required Demonstrated ability to present results at cross-functional teams, department meetings, review committees, and conferences. Extensive experience and strong understanding of oncology drug development is preferred Experience in Machine Learning/Artificial Intelligence is preferred Flexible, with positive attitude, ability to work with multidisciplinary teams, prioritize projects effectively and communicate at all levels within the company Excellent written, verbal and interpersonal communication skills Domestic and international travel will be required. Other Genmab employees work with determination and with respect for each other, consistent with our core values, to achieve our common goals. We give individuals and teams the autonomy to drive development of innovative products and solutions, knowing that integrity is a core value throughout our company. Genmab will offer the successful application a challenging position, where the right candidate will have the opportunity to work with highly specialized people across functions in an informal, multicultural culture, all aiming to make a difference for cancer patients. Teamwork and respect are central pillars of Genmab’s culture, and we therefore ensure an inclusive, open, and supportive professional work environment across our international locations. We believe that fostering workplace diversity across social, educational, cultural, national, age and gender lines is a prerequisite for the continued success of the company. We are committed to diversity at all levels of the company and strive to recruit employees with the right skills and competences, regardless of gender, age, ethnicity, etc. For US based candidates, the proposed salary band for this position is as follows: $123,360.00---$185,040.00 The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. Also, certain positions are eligible for additional forms of compensation, such as discretionary bonuses and long-term incentives. When you join Genmab, you’re joining a culture that supports your physical, financial, social, and emotional wellness. Within the first year, regular full-time U.S. employees are eligible for: 401(k) Plan: 100% match on the first 6% of contributions Health Benefits: Two medical plan options (including HDHP with HSA), dental, and vision insurance Voluntary Plans: Critical illness, accident, and hospital indemnity insurance Time Off: Paid vacation, sick leave, holidays, and 12 weeks of discretionary paid parental leave Support Resources: Access to child and adult backup care, family support programs, financial wellness tools, and emotional well-being support Additional Perks: Commuter benefits, tuition reimbursement, and a Lifestyle Spending Account for wellness and personal expenses About You You are genuinely passionate about our purpose You bring precision and excellence to all that you do You believe in our rooted-in-science approach to problem-solving You are a generous collaborator who can work in teams with a broad spectrum of backgrounds You take pride in enabling the best work of others on the team You can grapple with the unknown and be innovative You have experience working in a fast-growing, dynamic company (or a strong desire to) You work hard and are not afraid to have a little fun while you do so! Locations Genmab maximizes the efficiency of an agile working environment, when possible, for the betterment of employee work-life balance. Our offices are crafted as open, community-based spaces that work to connect employees while being immersed in our powerful laboratories. Whether you’re in one of our office spaces or working remotely, we thrive on connecting with each other to innovate. About Genmab Genmab is an international biotechnology company with a core purpose to improve the lives of patients through innovative and differentiated antibody therapeutics. For 25 years, its hard-working, innovative and collaborative team has invented next-generation antibody technology platforms and harnessed translational, quantitative and data sciences, resulting in a proprietary pipeline including bispecific T-cell engagers, antibody-drug conjugates, next-generation immune checkpoint modulators and effector function-enhanced antibodies. By 2030, Genmab’s vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSO®) antibody medicines. Established in 1999, Genmab is headquartered in Copenhagen, Denmark with international presence across North America, Europe and Asia Pacific. For more information, please visit Genmab.com and follow us on LinkedIn and X . Genmab is committed to protecting your personal data and privacy. Please see our privacy policy for handling your data in connection with your application on our website Job Applicant Privacy Notice (genmab.com) . Please note that if you are applying for a position in the Netherlands, Genmab’s policy for all permanently budgeted hires in NL is initially to offer a fixed-term employment contract for a year, if the employee performs well and if the business conditions do not change, renewal for an indefinite term may be considered after the fixed-term employment contract.

Environmental Science Expert - $90/hr Remote - Alignerr - Location: Remote About the job At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. Organization : Alignerr Position : Environmental Science Expert (Masters/PhDs) Type : Hourly Contract Compensation : $75–$90 /hour Location : Remote Commitment : 10–40 hours/week Role Responsibilities (Training support will be provided) - Develop, solve, and review advanced environmental science problems with real-world relevance. - Apply expertise in climate modeling, ecology, sustainability, or related areas to design complex problem statements. - Collaborate asynchronously with AI researchers and domain experts to enhance AI model reasoning. - Ensure scientific rigor, clarity, and depth across all deliverables. Requirements - Master’s or PhD in Atmospheric Science or a related field from a top U.S. university (or equivalent). - Experience coding in Python or R for research or projects. - Strong expertise in climate modeling, ecology, or sustainability. - Exceptional written and verbal communication skills with strong attention to detail. - Fluent in English and currently based in the U.S., Canada, New Zealand, U.K., or Australia. Preferred : - Prior experience with data annotation, data quality, or evaluation systems Application Process (Takes 15-20 min) - Submit your resume - Complete a short screening - Project matching and onboarding PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. $75 - $90 an hour

KIPP Capital Region is a part of a national network of high-performing public Charter Schools committed to creating joyful, academically excellent, and prepared students with the skills, ability, and confidence to pursue their paths to college, career, and beyond. Located in both Albany and Troy, NY, KIPP Capital Region serves 2,500+ students in grades K-12 across seven schools. We believe every individual walks through the doors of schools bearing gifts. Talent. Perspective. Drive. Inspiration. So at KIPP Capital Region, we support every student and educator to see those gifts, and then build the skills and confidence they need to thrive. We are committed to furthering anti-racism, equity, and racial justice in all our efforts, and expect all of our stakeholders to participate in this work so that we can create a future without limits for our students, together. Position Overview Grade(s): 9-12 Area of Focus: Science The Dean of Academics is responsible for the instructional coaching of teachers and for the academic outcomes for students and supports the culture and climate of a high school grade level and supports those students’ social and emotional learning and development. Duties/Responsibilities Provide instructional support and coaching to teachers as they work to ensure that each student can reach his or her academic potential. Support academic operations as it relates to curriculum, assessments, and aspects of the school’s instructional guidelines. Serve as a member of the senior leadership team and be responsible for implementation and oversight of various enabling systems for academic operations and teacher development. Responsible for four main areas: a) observing instructional delivery and providing feedback to enhance and support the development of each teacher's content area by supporting teachers in the design of units and lessons for the development of their year-long curriculum, b) analyzing data in order to modify curriculum and forms of assessment to meet students' needs, and c) working with the academic staff (grade-level chairs, assistant principals, principals) in the school to support sharing of best practices. Work collaboratively with the school personnel to advise principals and teachers on developing instructional strategies and intervention programs for struggling students. Collaborate with the Teaching and Learning Team on the design and implementation of school-wide assessments; work collaboratively with campus-based leaders to make instructional decisions based on student performance. Cultivate a standards-based, data and results-oriented culture. Observe teachers and provide specific strategies for improved instructional delivery. Work with teachers and school leadership teams to create and improve aligned curriculum resources. Collaborate with teachers in determining appropriate resources and support for teachers. Support teachers by providing feedback on lessons and assessments that align with school college-readiness standards and serve as an expert in national trends and best practices in curriculum development and instructional strategy for historically underachieving students. Serve as a teacher coach by providing expert advice on improving and enhancing individual lessons and units based on ongoing analysis. This will include, but is not limited to: Reviewing lesson plans, unit plans, and assessments Understanding scope and sequence models Observing classroom instruction and offering comprehensive analysis and feedback Providing instructional strategy best practice training, as needed Developing and facilitating professional development Supporting the development of curriculum, using the backward design model and advising scope and sequence based on essential content knowledge that addresses local, state and national standards. Develop, execute, and oversee aspects of instructional guidelines; including but not limited to: adherence to assessment calendars data entry (grades) data analysis/ action planning As a leader on the academic team, make recommendations on best practices for supporting curriculum alignment across all grade levels within the specified content area for all grade levels. Strengthen our high expectations for our scholars are maintained in each classroom and by all teachers. Work with all teachers to ensure that they constantly communicate with parents regarding instructional related gaps and improvements for students. Qualifications Education and Experience Bachelor’s degree from an accredited college/university, required. Minimum of 2+ years required as a Lead Teacher with a proven record of results. Minimum 1+ years preferred coaching teachers in both academics and Culture & Climate. Proficiency in managing a team, coaching teachers, and/or designing curriculum, preferably in the charter, private, or public school environment. Experience developing academic policies, systems, and school wide analysis and data collection preferred. Prior experience working in urban schools and communities preferred. Ability to work a flexible schedule outside of regular business hours. Aptitude to create and work within an inclusive environment that honors and supports a diversity of backgrounds and perspectives. Physical Requirements The physical demands described here represent those that an employee must meet to perform the essential functions of this job successfully. Reasonable accommodations may enable individuals with disabilities to perform essential functions. Prolonged periods were spent sitting at a desk and working on a computer. Must be able to access and navigate all areas of the school and other facilities as needed. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. The employee needs to read, write, and speak English fluently. While performing the duties of this job, the employee is required to stand, walk, sit, use fingers to type, handle or feel objects, tools, or controls, reach with hands and arms, climb stairs, balance; stoop/bend and reach, kneel, crouch or crawl; talk, hear. Dexterity requires writing and operating standard office machines such as computers, printers, copiers, fax machines, phones, and calculators. Ability to occasionally lift and move up to 20 pounds. Additional Information Work Perks When you join KIPP Capital Region, you are joining in on our promise to families that their children will enter college and the professional world able to thrive academically due to their literacy, numeracy, and core knowledge in science and social studies. We also promise that our students will develop a passion for learning and the drive necessary to persevere as they climb the mountain to and through college and career. Our graduates will be prepared to return to their community as teachers, leaders, and architects of continued growth in the Capital Region. And while the biggest perk to working at KIPP Capital Region is doing work that makes a lifelong difference in the lives of our students, you'll find that's not the only benefit we offer: Industry-leading medical, dental, and vision coverage Aggressive employer 403(b) contribution match Childcare benefits Unparalleled work/life integration Casual dress code Relocation stipend (conditions apply) And so much more! For more information on the benefits of joining KIPP Capital Region, please view our Employee Benefits Summary . Learn More: KIPP Capital Region offers a competitive salary ranging from $68,400 - $75,600 with a $5,000 STEM Sign On Bonus. Salaries are determined using an equitable compensation scale that accounts for years of experience relevant to the role and longevity within the KIPP network. KIPP Capital Region will evaluate and determine the step/level a new hire will be placed within our teacher salary scale at point of hire. All staff and educators at KIPP Capital Region are committed to anti-racism and inclusion, are part of a close-knit diverse community, and are encouraged to show up authentically, inspiring our children to do the same. Learn more about what it’s like to work at KIPP Capital Region: kippcapital.org/join-our-team/ This role is located at KIPP Capital Region schools in Albany, NY.

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description Global Marketing Manager – Life Science Instrument Services Site Based Role: Pittsburgh, PA or Morrisville, NC As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer. Discover Impactful Work The role involves developing and implementing marketing plans, conducting market research, handling budgets for lab instrument services. It includes aligning strategies with product offerings, improving brand awareness, leading digital marketing initiatives, supporting sales with tools and insights, and managing events. Collaboration with key partners and acting as a spokesperson at industry events are also essential. A day in the life Develop and implement marketing strategies for instruments services. Conduct market research to identify trends and customer needs. Manage the marketing budget efficiently. Align marketing strategies with product offerings. Develop product positioning, messaging, and value propositions. Lead product launch plans and promotional activities. Improve brand awareness and maintain brand guidelines. Create marketing collateral (brochures, presentations, digital content). Lead digital marketing initiatives (SEO, SEM, email, social media, content marketing). Analyze and optimize digital marketing performance. Manage the segment's online presence (website content, online advertising). Support sales with tools, training materials, and market insights. Plan and lead marketing events (conferences, webinars, trade shows). Develop relationships with key collaborators and industry influencers. Act as a spokesperson at industry events. Collaborate with cross-functional teams on marketing initiatives. Keys to Success Education: Bachelor’s degree in Marketing, Business Administration, or a related field (Master’s degree preferred). Experience 5+ years of experience in global marketing, with a focus on instrument services marketing preferred Experience developing and implementing global marketing strategies. Strong understanding of instrument laboratory market. Knowledge, Skills and Abilities Stong background in marketing equipment, reagents and consumables. Excellent leadership, communication, and interpersonal skills. Proficiency in digital marketing platforms. Strong analytical and problem-solving abilities. Ability to manage multiple projects and meet deadlines in a fast-paced environment. Creative problem solver with a passion for innovation and continuous improvement. Advanced proficiency in data analysis and market research techniques. Benefits We offer competitive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation! Compensation and Benefits This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes: A choice of national medical and dental plans, and a national vision plan, including health incentive programs Employee assistance and family support programs, including commuter benefits and tuition reimbursement At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards

The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University’s second largest college. We work across disciplines to tackle the challenges of our time through world-renowned research, education, and outreach. The questions we probe and the answers we seek focus on three overlapping concerns: We believe that achieving next-generation scientific breakthroughs requires an understanding of the world’s complex, interlocking systems. We believe that access to nutritious food and a healthy environment is a fundamental human right. We believe that ensuring a prosperous global future depends on the ability to support local people and communities everywhere. By working in and across multiple scientific areas, CALS can address challenges and opportunities of the greatest relevance, here in New York, across the nation, and around the world. Position Function This position reports to Professor Abigail Snyder in the Department of Food Science at Cornell University. Responsibilities related to the research include carrying out the data analysis and modeling for the assigned projects. Responsibilities related to mentoring and supervising students include helping students with data analysis, experimental design, and manuscript development, which can be done virtually. The Research Associate needs to be an experienced researcher who will use various microbiology, data science, bioinformatic, and modeling skills to research a broad range of projects relevant to Food and Agriculture Sciences at the Department of Food Science at Cornell University. This individual will be involved in the following projects: Modeling of cross-contamination Quantitative microbial risk assessment Covalent organic framework development Analysis of genomic data Statistical analysis and experimental design for the produce and dairy industries Meta-analysis and systematic reviews The Research Associate will perform quantitative research and supervise all digital resources for the lab. In addition, they will be expected to develop new research ideas, design experiments, collect data, present the results, write reports/papers, and develop proposals. Key Responsibilities: Design and conduct experiments in computational biology Analyze and interpret experimental data, ensuring high standards of accuracy and reproducibility. Write research proposals to secure funding from various sources. Mentor and support graduate students, providing guidance and support in their research projects. Collaborate with interdisciplinary teams to develop and execute research projects. Publish research findings in high-impact scientific journals. Present research findings at national and international conferences. Stay current with the latest developments in the field of food microbiology and related areas. Anticipated Division of Time Conduct research: This will include designing experiments, writing grant proposals, analyzing results, and writing papers for publication (80% of effort) Mentor and support graduate students (15% of effort) Write reports, papers for publication in peer-reviewed journals, and grant proposals (5% of effort) Requirements Academic training: Ph.D. in food science, data science, or microbiology. Evidence of ability to work independently Experience with advanced quantitative techniques or methods . Knowledge of current trends and advancements in microbiology/food safety research. Over a year of postdoctoral experience in a relevant field. Extensive lab experience in wet chemistry and synthesis. Proven track record of publishing research in high-impact scientific journals. Experience in writing research proposals and securing funding. Strong mentoring skills with experience supporting students. Excellent problem-solving, analytical, and critical-thinking skills. Strong written and verbal communication skills. Ability to work independently and as part of a collaborative team. Attention to detail and strong organizational skills. Supervision Exercise The incumbent of this position will be supervised by Professor Abigail Snyder. There are no supervising responsibilities with this position. To apply: Please apply via Academic Jobs Online https://academicjobsonline.org/ajo/jobs/30770 . Qualified candidates should submit a short cover letter, curriculum vitae, and contact information for three references via the website. Applications will be reviewed as received, continuing until a suitable applicant is identified. CALS hiring rate for this position is $76,500. College of Agriculture and Life Sciences Life. Changing. Cornell University is an innovative Ivy League and Land-grant university and a great place to work. Our inclusive community of scholars, students, and staff impart an uncommon sense of larger purpose and contribute creative ideas to further the university's mission of teaching, discovery, and engagement. Cornell’s regional and global presence includes state-wide Cornell Cooperative Extension programs and offices in all counties and boroughs, global partnerships with institutions and communities engaged in life-changing research and education, the medical college’s campuses on the Upper East Side of Manhattan and Doha, Qatar, and the Cornell Tech campus on Roosevelt Island in the heart of New York City. With a founding principle of “any person, any study,” Cornell is an equal opportunity employer . University Job Title: Research Associate Job Family: Research Level: No Grade - Annual Pay Rate Type: Salary Pay Range: Refer to Posting Language Remote Option Availability: Remote Company: Endowed Contact Name: Amanda Anderson Contact Email: aa2595@cornell.edu Job Titles and Pay Ranges: Non-Union Positions Noted pay ranges reflect the potential pay opportunity for each job profile. The hiring rate of pay for the successful candidate will be determined considering the following criteria: Prior relevant work or industry experience Education level to the extent education is relevant to the position Unique applicable skills Academic Discipline To learn more about Cornell’s non-union staff job titles and pay ranges, see Career Navigator . Union Positions The hiring rate of pay for the successful candidate will be determined in accordance with the rates in the respective collective bargaining agreement . To learn more about Cornell’s union wages, see Union Pay Rates . Current Employees: If you currently work at Cornell University, please exit this website and log in to Workday using your Net ID and password. Select the Career icon on your Home dashboard to view jobs at Cornell. Online Submission Guidelines : Most positions at Cornell will require you to apply online and submit both a resume/CV and cover letter. You can upload documents either by “dragging and dropping” them into the dropbox or by using the “upload” icon on the application page. For more detailed instructions on how to apply to a job at Cornell, visit How We Hire on the HR website. Employment Assistance: For general questions about the position or the application process, please contact the Recruiter listed in the job posting or email mycareer@cornell.edu . If you require an accommodation for a disability in order to complete an employment application or to participate in the recruiting process, you are encouraged to contact Cornell Office of Civil Rights at voice (607) 255-2242, or email at accommodations@cornell.edu . Applicants that do not have internet access are encouraged to visit your local library, or local Department of Labor. You may also request an appointment to use a dedicated workstation in the Office of Talent Attraction and Recruitment, at the Ithaca campus, by emailing mycareer@cornell.edu . Notice to Applicants: Please read the required Notice to Applicants statement by clicking here . This notice contains important information about applying for a position at Cornell as well as some of your rights and responsibilities as an applicant. EEO Statement: Cornell welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world-class education and career opportunities, to further the founding principle of “... any person ... any study.” No person shall be denied employment on the basis of any legally protected status or subjected to prohibited discrimination involving, but not limited to, such factors as race, ethnic or national origin, citizenship and immigration status, color, sex, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual’s genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law. Cornell University embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We hire based on merit, and encourage people from historically underrepresented and/or marginalized identities to apply. Consistent with federal law, Cornell engages in affirmative action in employment for qualified protected veterans as defined in the Vietnam Era Veterans’ Readjustment Assistance Act (VEVRRA) and qualified individuals with disabilities under Section 503 of the Rehabilitation Act. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law. 2025-10-06

Are you a passionate educator with boundless enthusiasm for nurturing young minds? The Tutor Doctor of Morris County (TDMC) team is searching for a dynamic Elementary / Middle School and or High School Science Teacher to ignite the academic journey of students. As a boutique, one-on-one, in-home, and online tutoring company, our mission is to transform students' lives. Your creativity and energy will shape every learning session, creating flexible and engaging educational experiences tailored to each student's unique needs. Key Values: We believe in the paramount importance of in-person tutoring, even as we embrace remote possibilities. Many of our cherished clients express a strong preference for face-to-face interactions, recognizing the irreplaceable value of direct human connection in enhancing the learning process's efficiency and efficacy. This is not to say that we won’t take Virtual Tutoring clients, because we will do that as well. It is just important that the job applicant understands that many tutoring clients are insisting on in-person sessions as their preferred option. Join us at TDMC as we embark on the gratifying journey of molding young minds and propelling them toward their aspirations. Job Requirements: - FOR THIS PARTICULAR JOB POST: YOU MUST HAVE A NJ STANDARD TEACHING CERTIFICATION OR A NJ SPECIAL EDUCATION CERTIFICATION. Please see additional TDMC job posts that do not require a NJ TEACHING CERTIFICATION - Tutor Doctor is not a brick-and-mortar tutoring center. We go and meet the students where they are (Live or Virtual). The Long Valley address is simply where the home office is located. - Ability to teach 1st – 8th grade Science concepts. OR - Ability to teach 9th-12th grade Science concepts. including physics, chemistry, biology - Quickly assess a student's level using your methods and evidence provided by the client. - Assist with test preparation (tests, quizzes, etc.). - Aid students with homework and lessons during tutoring sessions. - Motivate students to study and stay on task. - Create or follow lesson plans depending on the student's needs. - Teach and reinforce classroom concepts taught at their school. - Maintain a high level of professionalism and collaborate effectively with families and colleagues. - Be willing to meet clients face-to-face in mutually agreed-upon locations. - Travel within a reasonable distance from your home when necessary. - Utilize online tools for virtual instruction when required. Experience: - NJ Standard Teaching Certification or NJ Special Education Certification teachers (active or retired). - Prior tutoring experience preferred but not necessary. - Experience in preparing tutoring lessons for both in-person and virtual settings is preferred. Job Type: Part-time Salary: $25.00 - $35.00 per hour Expected hours: 1 – 4 per week Benefits: Flexible schedule Referral program Schedule Monday to Friday Weekends if preferred. Work setting: In-person and or virtual settings

WHAT WE DO MATTERS: At The Knot Worldwide, we champion celebration - and that starts with celebrating our people. Our employees are passionate dreamers, thoughtful doers, and lifelong learners who power meaningful moments for millions around the world. We’re united by authentic connection, shared purpose, and a deep commitment to the global community we serve. Here, flexibility and belonging go hand in hand with high performance. Driven by our core values, we believe the best ideas come from empowered teams: those who consistently collaborate with intention to design solutions, spark ideas, and drive impact. Our people are at the heart of our success. ABOUT THE ROLE AND OUR TEAM: We are seeking a Senior Director of Data Science to lead the Couple Growth & Lifecycle Zone, a strategic cross-functional team bridging Marketing to Product. In this role, you will ensure that every couple’s journey—from discovery to membership, onboarding, engagement, and beyond—is thoughtful, intuitive, and supported by smart, data-informed science. You will define the vision and roadmap for the Zone’s data science strategy, guiding teams to create predictive models, experimentation frameworks, and personalized experiences that help couples make meaningful progress in their planning journeys with confidence and ease. This role partners closely with leaders across Marketing, Product, Engineering, and Design to translate our mission into tangible, couple-centered outcomes. What You'll Lead: Growth & Marketing Science: Collaborate with marketing teams to understand campaign impact and unify insights across acquisition and in-product experiences—always through the lens of helping couples, not just metrics. Support couples in discovering TKWW through SEO, ASO, AI-powered discovery, and optimized landing experiences that are clear, helpful, and welcoming. Membership & Onboarding: Guide data-driven initiatives that remove friction in sign-up, onboarding, and profile completion, helping couples confidently start their planning journey. Engagement & Lifecycle Science: Develop models and insights that support couples in taking meaningful next steps—saving, shortlisting, sharing, and progressing—without feeling overwhelmed. RESPONSIBILITIES: Growth & Lifecycle Data Science Strategy Shape the data science vision across acquisition, membership, onboarding, and engagement, ensuring every insight and model contributes to real progress for couples . Translate complex business goals into scientific frameworks that anticipate couples’ needs and guide Product, Engineering, and Marketing priorities. Lead predictive and personalization modeling, including action likelihood, recommendations, onboarding, and engagement nudges. Experimentation & Insights Define frameworks for experimentation and lift measurement that prioritize couple-centric outcomes. Ensure tests and analyses help teams learn how to better support couples, not just move metrics. Cross-Functional Zone Leadership Serve as a core Zone Lead alongside Marketing, Product, and Engineering, ensuring data science strategy is tightly integrated with Product roadmaps and Engineering execution. Translate complex scientific insights into actionable guidance for cross-functional teams. Lead, mentor, and grow a team of data scientists and managers, building a culture of curiosity, rigor, and empathy. Partner with Engineering to ensure infrastructure supports scalable modeling, personalization, and experimentation. SUCCESSFUL CANDIDATES HAVE: 10+ years in data science or applied machine learning, with 5+ years managing teams and managers. Proven ability to use data science to improve user experience and outcomes in consumer-facing products. Expertise in predictive modeling, marketing attribution (MMM, MTA), LTV, engagement likelihood, ranking/retrieval, and uplift modeling. Strong background in statistics, machine learning, and causal inference, with fluency in Python and SQL. Deep understanding of growth, activation, and retention dynamics, lifecycle messaging, personalization, and MarTech systems. Experience partnering with and influencing senior leaders across Product, Engineering, and Marketing. Skilled at translating complex data insights into practical, couple-centered strategies that guide teams to act with purpose. WORK MODEL: This role is Together@TKWW-eligible and based near one of our office hubs. Starting September 15, 2025, you’ll be expected to work in the office two days a week as part of our hybrid work model. At The Knot Worldwide, we believe you are more than a resume and invite you to go for it, take the leap of faith, and apply for this job. Together, we have an incredible opportunity to make it even easier for our customers to plan life’s most meaningful moments and for our small business owners to grow and scale. We would love to have you with us on our journey. WHAT WE LOVE ABOUT YOU: Commit to our customers : You act as one team on behalf of our customers. You lead with head and heart, and build what matters for life's most meaningful moments. Raise the bar: You define "great" and work backwards. You don't just accept how it's been done, but boldly define how it should be. You are unafraid to innovate, learn, and keep moving forward toward our shared vision. Be all in: You believe in our mission and take ownership of your work. You debate openly to reach the best outcomes, speaking with clarity and care, embracing diverse perspectives, then commit fully. Celebrate impact: You measure success by the outcomes you create. You hold yourself accountable to delivering value, while recognizing progress and the lessons learned along the way. You love to win, together. WHAT YOU LOVE ABOUT US: We believe in a wide range of holistic offerings to support our employees so that they can live our values day in and day out. From mental wellbeing, physical health and financial planning, to engaging perks and discounts, we are in the business of celebrating and supporting the Moments that Matter, both in and out of the office.. We offer flexible vacation, generous parental leave, and prioritize initiatives that support the growth, development, and happiness of our people. Together@TKWW is our approach to hybrid work. It’s designed to support how we work best: combining the flexibility we value with meaningful opportunities to connect in person. Whether a role is Together@TKWW-eligible or not, we believe in purposeful moments to come together, build strong relationships, and drive bold ideas forward. For Together@TKWW-eligible roles, this includes regular in-office time to foster collaboration and connection. For roles not eligible for in-office expectations , we support connection through virtual collaboration and intentional gatherings. To facilitate in-person collaboration, we have office spaces in Barcelona, Spain; Delhi, India; Galway, Ireland; London, England; New York, NY; and Washington, D.C. __ US Notice: The Knot Worldwide provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, or disability. In addition to federal law requirements, The Knot Worldwide complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. The Knot Worldwide expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Privacy Notice: The Knot Worldwide (TKWW) processes your personal data to evaluate your application, based on the legal ground of taking steps prior to entering into a potential employment contract. Only the data strictly necessary for this purpose is collected. In some cases, your data may also be processed based on TKWW’s legitimate interests (e.g., to improve recruitment practices or manage candidate pools), to which you can object at any time. You have the right to access, rectify, or delete your data, and to object to certain uses. To learn more about your rights, please consult our The Knot Worldwide (TKWW) processes your personal data to evaluate your application, based on the legal ground of taking steps prior to entering into a potential employment contract. Only the data strictly necessary for this purpose is collected. In some cases, your data may also be processed based on TKWW’s legitimate interests (e.g., to improve recruitment practices or manage candidate pools), to which you can object at any time. You have the right to access, rectify, or delete your data, and to object to certain uses. To learn more about your rights, please consult our Privacy Policy . If you wish to file a complaint, you may contact the competent data protection authority. If you wish to file a complaint, you may contact the competent data protection authority.