Research scientist jobs in Concord, CA

We're representing a cutting-edge AI organization building autonomous systems that can reason, plan, and interact with the physical world. This is a chance to join a small, elite research team pushing the frontier of LLM-driven autonomy. ⭐ The Opportunity You'll lead research that powers intelligent agents capable of long-horizon reasoning, structured tool-use, and real-world decision-making. This is deep ML research with immediate, tangible impact. What You'll Work On Building LLM reasoning and planning frameworks Designing structured tool-use, memory, reflection, and multi-step workflows Developing safe, robust policies for autonomous systems Training and evaluating models across real engineering and scientific tasks Collaborating with systems, simulation, and infrastructure experts What We're Looking For Strong research background in LLMs, reasoning, or agents Experience with SFT, RLHF/DPO, verifier-guided RL, or related training techniques Ability to design and evaluate long-horizon behaviors Comfort working in a fast, interdisciplinary R&D environment Why Join Build models that control real physical-world systems, NOT just simulations Massive scope for autonomy, creativity, and impact Competitive compensation + meaningful ownership

⚡ Research Scientist - Data focus 💊 Foundation Models, AI Research Institute 🌎 San Francisco Bay Area, USA 💸 $200,000 - $350,000 salary + bonus Come join a revolutionary AI research lab in SF Bay Area that is poised to develop & publish high-impact breakthroughs in GenAI - across LLMs and Multimodal AI. As part of the team, you'll work at the intersection of data, large-scale training, and foundation model innovation. You will collaborate with world-class researchers, data scientists, and engineers to solve critical challenges in creating robust, scalable, and reasoning-capable LLMs. Your research will shape the way data is curated, processed, and leveraged to train the next generation of intelligent systems. Responsibilities: Lead research on data-centric approaches for LLMs, including pretraining corpus design, data valuation, and speculative decoding strategies. Develop pipelines to process challenging data sources into structured and reproducible training datasets. Build and optimize agentic data pipelines, integrating retrieval, self-curation, and multi-agent feedback for high-quality training and evaluation data. Collaborate with researchers on alignment and reasoning-focused training that leverage data-driven approaches for improving LLM capabilities. Prototype and deploy evaluation frameworks to measure data quality, coverage, and downstream impact on LLM reasoning. Publish findings at top-tier venues (e.g., NeurIPS, ICLR, ACL, EMNLP) and represent the institute at international conferences. Contribute to open-source tools, datasets, and benchmarks that advance the global foundation model research community. Requirements: Master's degree in Computer Science, Data Science, or a related technical field (PhD strongly preferred) Experience collecting and curating high-quality text data including multi-lingual data. Hands-on experience with large-scale dataset curation and preprocessing for ML/LLM training. Prior works synthesizing complex datasets. Code, math, and agentic data are higher priority Experience with ML infrastructure for scalable training, evaluation, and debugging. Experience at the intersection of data and post-training (RL/SFT) Proven ability to independently drive research questions related to data quality, scaling, or reasoning. Preferred Experience: Experience with retrieval-augmented generation (RAG), agentic data pipelines, or reasoning benchmarks. Contributions to speculative decoding, self-curation, or reinforcement learning from synthetic data. Background in knowledge graphs, semantic search, or indexing systems. Strong publication record in leading AI conferences. Prior contributions to open-source ML data tools or benchmarks. Prior work on speculative decoding/contributions to LLM serving engines Prior work on training LLM-as-a-judge Deep expertise with tokenization/training tokenizers Why apply: Opportunity to build out a new division at the forefront of AI innovation FAANG competitive salary & package Work alongside superstars from FAANG labs & leading AI companies Medical, Dental and Vision Insurance Relocation package available 🌎 San Francisco Bay Area, USA 📧 Interested in applying? Please click on the ‘Easy Apply' button or alternatively email me your resume at ************************

Title: AI Research Scientist Responsibilities: Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics. Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases. Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness. Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes. Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints. Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation. Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems. Contribute to academic publications and represent the company in research communities, as needed. Educational Qualifications: Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred. Candidates with a master's degree and exceptional research or industry experience will also be considered. Industry Experience: 3-5 years of experience in AI/ML research roles, ideally in applied or product-focused environments. Demonstrated success in delivering research-driven solutions that have been deployed in production. Experience collaborating in cross-functional teams across research, engineering, and product. Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus. Technical Skills: Strong foundational knowledge in machine learning and deep learning algorithms. Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO). Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases. Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations. Advanced programming skills in Python (preferred), C++, or Java. Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc. Strong mathematical foundations in probability, linear algebra, and calculus. Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc. Ability to translate research insights into roadmaps, technical specifications, and product improvements. AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

AI/ML Scientist - Build the Future of Physics AI- $250,000 to $275,000 Salary You will be part researcher, part builder, part pioneer, someone who thrives at the intersection of machine learning and physics based simulation. The platform is built on massively scalable, cloud native simulation technology that makes it possible to run thousands of high fidelity simulations quickly and easily. This foundation unlocks something big, enabling the generation of large scale datasets that power the next generation of ML models across industries. You will be on the front lines of building and productizing new machine learning approaches for physics based problems, from CFD to thermal simulation. Your work will not just live in a paper, it will deliver measurable value to customers, shape new product capabilities, and push the boundaries of what is possible in Physics AI. You know that rush when your work goes from experiment to production, when the models perform, the results hold up, and you can see the impact firsthand? That is what this role is about. Ready to shape the future of Physics AI? Let's talk. No up to date resume required.

About our team: Our team is dedicated to revolutionizing B2B e-commerce through the development of a groundbreaking AI search product. Leveraging cutting-edge LLM technology, we're creating a brand new AI search engine and streamline the entire purchasing process for B2B customers. Responsibilities ● Deliver full projects by defining the data structure, framework, design, and evaluation metrics for AI solution development and implementation. ● Develop and deploy Large Language Models (LLMs) to empower search and agent systems for a variety of applications. ● Identify new and upcoming product innovation areas by interacting with potential external and internal collaborators. ● Identify undefined problems in existing technology and engage stakeholders and leaders to address them. Qualifications ● PhD, Master's, or Bachelor's degree in Computer Science, Engineering, Mathematics, or related fields. ● Ability to implement and verify state-of-the-art NLP or Computer Vision algorithms. ● Experience in successfully applying machine learning approaches to real-world personalization problems. ● Experience with building large language models. ● Knowledge of statistical methods, with strong mathematical skills. ● Excellent problem-solving and programming skills in Python. The pay range for this position at commencement of employment is expected to be between $162,400/year and $266,000/year. However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Senior RL Research Scientist / Reinforcement Learning Scientist Join a frontier AI team building systems that can act in the physical world, experimenting, optimizing, and controlling real processes through advanced ML, simulation, and automation. This group is pushing the boundaries of physical intelligence, backed by significant long-term funding and a mandate to invent from first principles. If you want to: Work on problems few teams in the world can touch Build RL systems that power real tools, workflows, and scientific processes Operate in a fast, high-ownership, deeply technical culture …this is the kind of role that defines a career. The Role You'll design and deploy reinforcement learning systems that control complex tools, optimize multi-step processes, and operate across high-fidelity simulations and digital twins. Expect hands-on research, real-world experimentation, and tight collaboration with teams across ML, simulation, and systems engineering. What You'll Do Build RL environments for tool control, workflow optimization, and long-horizon decision-making Develop safe and constrained RL methods, verifier-driven rewards, and offline to online training pipelines Create state/action representations and evaluation frameworks for reliable policy behavior Work with cross-functional researchers and engineers to deploy RL agents into real workflows What You Bring Strong background in RL, optimal control, or sequential decision-making Experience applying RL to complex simulated or physical systems Familiarity with safe/constrained RL, verifiers, or advanced evaluation pipelines Ability to design environments, rewards, and diagnostics at scale Comfort working across ML, simulation, and systems interfaces

Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA editing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. If you are interested in building a new frontier in genetic medicine, we welcome you to apply. Job Description: High-Throughput Screening Research Associate II, III (Biodesigner II, III) Responsibilities: Perform massively parallel reporter assays and high-throughput screens across diverse cellular contexts using cellular and molecular readouts. Develop and execute molecular biology workflows such as vector design and cloning, DNA/RNA extraction, RT-PCR, qPCR, and next-generation sequencing. Support cell culture activities and experiments in multiple cell lines, at small and large scales. Design and execute cell-based assays (AAV/lentiviral transduction, transfection, flow cytometry, immunostaining, and other plate reader assays). Engineer and characterize cell-based systems using synthetic biology tools and techniques. Conduct and troubleshoot experiments, independently and in collaboration with colleagues, to optimize screening throughput, sensitivity, and specificity. Proactively troubleshoot technical issues and recommend potential corrective actions based on personal observations and literature searches. Prepare summaries of data and present internally to colleagues and management. Draft SOPs, follow protocols, diligently document experimental data in lab notebooks, and organize and maintain electronic work records. Author scientific reports and data summaries. Collaborate with cross-functional teams to meet project goals, bridging early discovery with high-throughput screens to nominate and optimize candidates for further characterization. Qualifications: Bachelor's or Master's degree in Biology, Biochemistry, Chemical Engineering, Biological Engineering, or a related field. At least 2 years of industry wet lab experience. Mammalian cell culture experience (culturing, transfecting and transducing cells, and DNA/RNA purification from cells). Molecular biology expertise (vector design and cloning, qPCR, primer and probe design, DNA/RNA extraction workflows) Critical thinker with excellent communication skills who thrives in a multidisciplinary, fast-paced team environment. Strong written and verbal communication skills. Preference will be given to those who display: High throughput screening assay development in an industry setting. High motivation, with a strong work ethic and dedication to generating impact. Attention to detail, with the ability to extract deep insights from data. First-principles thinking, and an ability to refine one's intuition based on additional data. Ability to go from ideation to data in an independent fashion. Long-term personal vision with defined career goals. High EQ with team-oriented thinking. Experience with pooled, high-throughput screens using next-generation sequencing-based readouts, and/or preparing screening plasmid libraries from synthesized oligo arrays. Experience with CRISPR-Cas systems and/or gene editing and delivery technologies. Experience preparing next-generation sequencing libraries (Illumina, PacBio, and/or Nanopore platforms). If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team. Please apply directly through LinkedIn. Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.

Research Scientist We're representing a cutting-edge AI organization building autonomous systems that can reason, plan, and interact with the physical world. This is a chance to join a small, elite research team pushing the frontier of LLM-driven autonomy. ⭐ The Opportunity You'll lead research that powers intelligent agents capable of long-horizon reasoning, structured tool-use, and real-world decision-making. This is deep ML research with immediate, tangible impact. What You'll Work On Building LLM reasoning and planning frameworks Designing structured tool-use, memory, reflection, and multi-step workflows Developing safe, robust policies for autonomous systems Training and evaluating models across real engineering and scientific tasks Collaborating with systems, simulation, and infrastructure experts What We're Looking For Strong research background in LLMs, reasoning, or agents Experience with SFT, RLHF/DPO, verifier-guided RL, or related training techniques Ability to design and evaluate long-horizon behaviors Comfort working in a fast, interdisciplinary R&D environment Why Join Build models that control real physical-world systems, NOT just simulations Massive scope for autonomy, creativity, and impact Competitive compensation + meaningful ownership

Role: Founding Applied Researcher Commitment: Full-Time, In Person Salary: up to $300k + 2% equity Must have previous AI/Multimodal/Generative systems experience About the Role Our client are building a fast-growing marketplace connecting elite creative talent award-winning artists, filmmakers, designers, and musicians with leading AI labs developing next-generation generative media models (e.g., state-of-the-art video, audio, and multimodal systems). A small, high-talent-density team with backgrounds from top universities and research-driven organizations, backed by founders and senior researchers from frontier AI labs and industry-leading research groups. They value initiative over instruction, autonomy over consensus, and reward exceptional talent with exceptional upside both in compensation and impact. Role Overview As a Founding Applied Researcher, you will design and build the next generation of generative media benchmarks evaluations that meaningfully push the boundaries of what foundation models can understand, generate, and perform. You will collaborate directly with researchers at frontier labs and fast-moving startups, helping define evaluation standards for multimodal and generative systems. This is a rare opportunity to own critical research efforts from day one, work on deeply novel challenges, and shape the direction of the field. What You'll Do Design, develop, and validate new benchmarks that test advanced real-world capabilities in generative media models Create novel evaluation methodologies, including dataset construction, task formulation, and scoring frameworks Collaborate closely with researchers at leading AI labs to identify gaps in existing evaluation pipelines and define new standards Prototype and iterate rapidly, balancing scientific rigor with practical constraints Influence research direction and help define best practices for a growing applied research organization What We're Looking For Academic & Research Background Master's degree or PhD in Machine Learning, NLP, Computer Science, or a related field Exceptional undergraduates with strong research track records are also encouraged to apply Demonstrated research excellence through publications at venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, or similar Technical Skills Strong proficiency in Python for research, prototyping, and experimentation Experience with evaluation, benchmarking, or model analysis Familiarity with multimodal systems, generative models, or foundation model behavior is a plus Mindset & Attributes Strong initiative and comfort operating autonomously Eagerness to tackle open-ended problems with no established playbook Ability to collaborate with industry researchers and clearly communicate findings Compensation & Ownership Competitive equity package with true founding-level ownership Opportunity to define foundational research culture and influence product direction from inception

We are seeking a PhD-level Clinical Scientist to support the Biologics License Application (BLA) submission for a Breakthrough Therapy-designated biologic targeting a neurodegenerative rare disease. This role will contribute to late-stage clinical development, supporting clinical data interpretation, regulatory documentation, and cross-functional collaboration as the program advances toward potential approval. Key Responsibilities Support late-stage clinical development and BLA submission activities Interpret and synthesize clinical efficacy, safety, and biomarker data in pediatric populations Author and review clinical sections of regulatory documents (Modules 2 and 5) Collaborate cross-functionally with Regulatory, Clinical Operations, Biostatistics, and Medical Affairs Support FDA interactions and regulatory meetings as needed Qualifications PhD in a life sciences discipline 5+ years of clinical development experience in biotech or pharma Experience supporting late-stage programs and regulatory submissions (BLA/NDA/MAA) Strong scientific writing and cross-functional collaboration skills Experience in rare disease, pediatric, neurodegenerative, or biologics programs preferred Why This Role This is an opportunity to contribute to a Breakthrough Therapy-designated biologic at a critical regulatory milestone, advancing a program aimed at addressing serious unmet need in pediatric neurodegenerative disease.

Clorox is the place that's committed to growth - for our people and our brands. Guided by our purpose and values, and with people at the center of everything we do, we believe every one of us can make a positive impact on consumers, communities and teammates. Join our team. #CloroxIsThePlace Your role at Clorox: The Research and Development organization is embedded within each of our Clorox businesses, taking new generations of consumer products from concept to reality. With such diverse roles as engineers, scientists, packaging experts, and technicians R&D is a community of technical leaders and managers actively involved in virtually every step in the lifecycle of our products, from initial concept to raw materials to final goods on store shelves. R&D is committed to leveraging the latest technology to bring consumers the high-quality, innovative products they expect and deserve. In this role, you will: As an R&D Packaging Scientist at Clorox you will enable superior packaging innovation that drives profitable growth, by delivering optimized packaging solutions that delight consumers, elevate brand equity and improve the consumer experience via sustainability and design. You'll leverage an engineering mindset as you work with R&D Product and Process Development, Marketing, Sales, and Supply chain - to understand consumer needs, investigate future technologies, identify sustainable packaging opportunities, design and develop functional and cost-effective solutions while overcoming packaging technical hurdles. You'll make a difference from day one, contributing to products used by millions of people while growing your technical and leadership skills working on some of the most trusted brands in the consumer goods industry. In this role you will: Drive Innovation: Develop innovative packaging that delivers a superior consumer experience while meeting functional, regulatory, and brand requirements. Execute with Technical Excellence: Apply engineering principles to solve complex packaging challenges by owning the end-to-end development of packaging solutions-from conceptual design, prototyping, mechanical and chemical performance testing, to consumer testing, lab validation (drop, vibration, ship tests), component tooling qualification and scale-up, production, manufacturing, and supply chain. Own the Technical Details: Create and manage packaging specifications, including fill weights, pallet configurations, and cube information for each individual primary unit, secondary, tertiary, and display packaging components including creating assembly diagrams which are critical inputs for successful product launches. Support Commercialization: Develop and apply SOPs, test methods, and best practices while leading pilot and production trials for new packaging components, analyze results, troubleshoot issues, and provide insights that enable smooth scale-up and successful product launches. Collaborate Across Functions: Work with R&D, Sales, Marketing, and Supply Chain teams to interpret data, meet project objectives, and drive efficiency while managing technical risk. Grow Your Career: Be part of a team that values playing to win, technical curiosity, and raising the bar where your contributions help shape the future of Packaging Innovation at Clorox. What we look for: Majors: B.S. Packaging Engineering, B.S. Material Science Engineering, or B.S. Mechanical Engineering, M.S. Packaging Science Requirements: Graduating between December 2025 and August 2026 Minimum GPA of 3.0 or higher Ability to work in a lab with various materials, including dust. Fine motor skills to prototype samples Knowledge of ASTM packaging testing methods Working knowledge of packaging software (ArtiosCAD and TOPS) Ability to learn fast, and demonstrate strong leadership and influencing skills Excellent organization skills with the ability to manage multiple projects simultaneously and effectively Confident self-starter, critical thinker, capable of working independently and cross-functionally with minimal supervision and direction in a fast-paced environment. Workplace type: Hybrid Our values-based culture connects to our purpose and empowers people to be their best, professionally and personally. We serve a diverse consumer base which is why we believe teams that reflect our consumers bring fresh perspectives, drive innovation, and help us stay attuned to the world around us. That's why we foster an inclusive culture where every person can feel respected, valued, and fully able to participate, and ultimately able to thrive. Learn more. [U.S.]Additional Information: At Clorox, we champion people to be well and thrive, starting with our own people. To help make this possible, we offer comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates' unique needs. This includes robust health plans, a market-leading 401(k) program with a company match, flexible time off benefits (including half-day summer Fridays depending on location), inclusive fertility/adoption benefits, and more. We are committed to fair and equitable pay and are transparent with current and future teammates about our full salary ranges. We use broad salary ranges that reflect the competitive market for similar jobs, provide sufficient opportunity for growth as you gain experience and expand responsibilities, while also allowing for differentiation based on performance. Based on the breadth of our ranges, most new hires will start at Clorox in the first half of the applicable range. Your starting pay will depend on job-related factors, including relevant skills, knowledge, experience and location. The applicable salary range for every role in the U.S. is based on your work location and is aligned to one of three zones according to the cost of labor in your area. -Zone A: $72,400 - $132,500 -Zone B: $66,400 - $121,500 -Zone C: $60,300 - $110,400 All ranges are subject to change in the future. Your recruiter can share more about the specific salary range for your location during the hiring process. This job is also eligible for participation in Clorox's incentive plans, subject to the terms of the applicable plan documents and policies. Please apply directly to our job postings and do not submit your resume to any person via text message. Clorox does not conduct text-based interviews and encourages you to be cautious of anyone posing as a Clorox recruiter via unsolicited texts during these uncertain times. To all recruitment agencies: Clorox (and its brand families) does not accept agency resumes. Please do not forward resumes to Clorox employees, including any members of our leadership team. Clorox is not responsible for any fees related to unsolicited resumes.

Top investment bank seeking an equity research associate to support a rising senior biotechnology analyst covering mid- and small-cap biotech companies. Responsibilities will include: Candidate should understand that the team is highly motivated to become top-ranked in the biotech industry Conducting proprietary research and evaluating drug pipelines by analyzing scientific literature, attending medical conferences, and consulting industry experts Writing research reports for initiations of coverage, deep dive data analyses, competitive landscaping, and industry/ company news Delving into intellectual property and following patent litigation concerning pharmaceuticals Building and maintaining financial models and powerpoint decks Conceiving and executing on differentiated project ideas Interfacing with company management teams, internal sales and trading personnel, and institutional investors Key Qualifications: 1-2+ years of experience in healthcare investment research required (sell side, buy side, investment banking, etc). Must be fully licensed. Science background required; MD or PhD preferred Motivated to rise in the sell-side industry in the long-term Hard-working, attention to detail, team player Sharp analytical skills in dissecting preclinical and clinical data Deep understanding of, or experience with, drug development and the FDA-approval process for pharmacologic treatments is desirable High proficiency in written/verbal communication Can type >120 words per minute Has experience writing quality sell side reports, producing powerpoints, and creating detailed financial models (e.g. functioning three-statement models, DCFs, market models, etc) Experience building financial models using excel is a plus Primary Location Full Time Salary Range of $100,000 - $120,000.

Neurodegenerative diseases are one of the largest medical challenges of our time. Denali Therapeutics is a biotechnology company dedicated to developing breakthrough therapies for neurodegenerative diseases through our deep commitment to degeneration biology and principles of translational medicine. Denali is founded on the collaboration of leading scientists, industry experts, and investors who share the vision that scientific discovery energetically applied to translational medicine is the key to delivering effective therapies to patients. We invite you to consider an opportunity with Denali to help achieve our goal of delivering meaningful therapeutics to patients. This position develops, optimizes, and establishes state-of-the-art potency assays for our diverse pipeline of large molecule biotherapeutics with ligand-based and cell-based bioassays to characterize activity and potency of a variety of modalities including antibodies and Fc-fusion proteins as well as oligonucleotide-conjugates and virus-based gene therapies. Key Accountabilities/Core Job Responsibilities: Independently perform bioassays to support cell and plate-based (ELISA, ENZYME ACTIVITY) development for late stage molecule Assist in the development, optimization, and qualification of assays for product release and stability testing as well as characterization of biological activity. Support study sample testing, analysis and maintain complete and accurate records and contribute to continuing process improvement Evaluate, characterize, and document critical reagents to meet QC standards Coordinate parallel tasks across multiple projects and prioritize deliverables to meet departmental and organizational goals. Promote innovation and explore novel analytical techniques or technology. Qualifications/Skills: BS with 3+ years of industry experience or an MS 1+ years relevant experience in the industry Experience in developing and optimizing bioassays using cell based assay, ELISA, HTRF, Enzyme activity, Enzyme Kinetics, Octet is required. Proficient in aseptic technique, mammalian and primary cell handling Proficient in data analysis with Excel and statistical tools such as GraphPad Prism, SoftMax Pro, and PLA 3.0 . Familiar with electronic notebooks and documentation workflows. Ability to balance competing priorities and thrive in a dynamic, fast-paced environment Excellent laboratory, critical thinking, scientific problem-solving, and organizational skills Excellent oral and written communication skills Motivated, detail-oriented, naturally curious individual with a creative approach to scientific problem solving and a burning desire to help patients with neurodegenerative diseases. Salary Range: $107,000.00 to $131,000.00 . Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience. Denali offers a competitive total rewards package, which includes a 401k, healthcare coverage, ESPP and a broad range of other benefits. Learn more at ****************************************** This compensation and benefits information is based on Denali's good faith estimate as of the date of publication and may be modified in the future.This compensation and benefits information is based on Denali's good faith estimate as of the date of publication and may be modified in the future. Denali is committed to its core company value of unity by creating a diverse and inclusive environment. We are proud to be an equal opportunity employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, basis of disability, or any other federal, state, or local protected class.

Who We Are BioMarin is a global biotechnology company that relentlessly pursues bold science to translate genetic discoveries into new medicines that advance the future of human health. Since our founding in 1997, we have applied our scientific expertise in understanding the underlying causes of genetic conditions to create transformative medicines, using a number of treatment modalities. Using our unparalleled expertise in genetics and molecular biology, we develop medicines for patients with significant unmet medical need. We enlist the best of the best - people with the right technical expertise and a relentless drive to solve real problems - and create an environment that empowers our teams to pursue bold, innovative science. With this distinctive approach to drug discovery, we've produced a diverse pipeline of commercial, clinical and preclinical candidates that have well-understood biology and provide an opportunity to be first-to-market or offer a substantial benefit over existing therapeutic options. About Worldwide Research and Development From research and discovery to post-market clinical development, our WWRD engine involves all bench and clinical research and the associated groups that support those endeavors. Our teams work on developing first-in-class and best-in-class therapeutics that provide meaningful advances to patients who live with genetic diseases. Contract role in This role is onsite five days a week in San Rafael, CA* The Research & Early Development (RED) group is responsible for everything from research and discovery to post-market clinical development. RED involves all bench and clinical research and the associated groups that support those endeavors. Our teams work on developing first-in-class and best-in-class therapeutics that provide meaningful advances to patients who live with rare diseases. Summary Description: Gain industry experience and learn various skills to become a well-rounded scientist capable of advancing drug development. The individual will assist senior staff in planning, performing, and documenting laboratory experiments. Primary responsibilities may include general lab duties, buffer preparation, animal tissue processing, analytical pathology techniques including tissue sectioning (microtomy and cryotomy), histologic staining (e.g. H&E & Masson's trichrome), immunohistochemistry, In Situ Hybridization, and brightfield and epifluorescence microscopy. Other responsibilities include qualitative and basic, quantitative image analysis (Visiopharm), and preparation of image data for power points and reports. The ideal candidate will be responsible for performing, and/or supporting the development and optimization of experimental systems. This role conducts lab-based experimentation based on literature protocols, standard operating procedures (SOPs), consulted innovative approaches, and conducts general laboratory maintenance responsibilities. This role performs data analysis with appropriate documentation of all methods used and proper handling of raw data. Experience & Education per level: Research Associate 1: Bachelor's degree and at least 1-2 years of relevant experience Work Environment/Physical Demands: The employee may frequently be required to sit and talk or hear. The employee is occasionally required to stand; walk; use hands to handle or feel; reach with hands and arms; climb or balance; stoop, kneel, crouch, crawl, and smell. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities by this job include close vision, depth perception and ability to adjust focus. Wet lab environment. Some toxic chemical use. Occasional foul odors. Candidate must not have any known chemical allergies. Note: This description is not intended to be all-inclusive, or a limitation of the duties of the position. It is intended to describe the general nature of the job that may include other duties as assumed or assigned. An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. In the U.S, the salary range for this position is $ 31 to $ 50 per hour. The base pay actually offered will take into account internal equity, and may also vary depending on candidate's geographic region, job-related knowledge, skills, and experience amongst other factors. The salary range for this position is: $31 to $50. BioMarin considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans. For additional benefits information, visit:

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 ******************* Job Function: Discovery & Pre-Clinical/Clinical Development Job Sub Function: Clinical Development & Research - Non-MD Job Category: Scientific/Technology All Job Posting Locations: Irvine, California, United States of America, Milpitas, California, United States of America Job Description: About Vision Fueled by innovation at the intersection of biology and technology, we're developing the next generation of smarter, less invasive, more personalized treatments. Are you passionate about improving and expanding on the possibilities of vision treatments? Ready to join a team that's reimagining how vision is improved? Our Vision team solves the toughest health challenges. Help combine cutting-edge insights, science, technology, and people to encourage eye care professionals and patients to proactively protect, correct and enhance healthy sight for life. Our products and services address these needs - from the pediatric to aging eye - in a patient's lifetime. Your unique talents will help patients on their journey to wellness. Learn more at *******************/medtech We are searching for the best talent for a Principal Clinical Research Scientist - Equipment Platform Vision. The role is based on either the Irvine, CA or Milpitas, CA campuses. Purpose: The Principal Clinical Research Scientist - Equipment Platform Vision is an expert in ophthalmic and medical device research who is a core team member on key projects. Your insights will drive the strategic direction for crafting clinical programs that generate scientific evidence to bring new technologies to eye care professionals and their patients. You should have an in-depth understanding of clinical research (science and execution), as well as familiarity with new product development, design control, and ophthalmic device regulations. A good grasp of related healthcare markets and clinical trends is also beneficial. You demonstrate a consistent track record as a key leader and contributor in complex projects, who delivers as promised. Be able to independently build collaborative relationships, influence and align with your functional partners, prioritize multiple projects, and delegate when efficient. You will be responsible for: Represent Clinical Science as core team member on critical projects, liaising between project and functional teams, and coordinating with Clinical Operations and Project Management partners to deliver on time, within budget, and in compliance with regulations and SOPs Activate and build collaborative relationships with across business platforms as well as key cross-functional partners (e.g., Global Strategic Marketing, Medical Affairs, Regulatory Affairs, R&D, etc.) to ensure consistent alignment in new product development and through product life cycle Lead initiatives for appropriate interpretation and dissemination of all evidence generated, including Clinical Study Reports, abstracts, manuscripts, and MDR-related documents (CER, PMCF, Clinical Plans, etc.) Contribute to clinical scientific discussions with regulatory agencies that support the clinical and regulatory strategy, including proposed investigations, review process of evidence to support marketing authorization, and support of regulatory inspections Engage and collaborate with industry's key opinion leaders, including KOLs and regulatory agencies, and build on relationships established through professional/technical societies Performs other related duties as assigned by management Qualifications An advanced degree in a Scientific Field is required. A Doctoral Degree-Optometry or MD with specialty in Ophthalmology is highly recommend. Other: Post-graduate degree or residency is preferred Minimum of 8 years of relevant clinical / scientific work experience, including leadership functions (ie. leading or mentoring teams, non-managerial leadership experiences) is required Experience in software-driven medical devices and capital equipment is preferred Strong technical writing ability, such as clinical study protocols, reports and abstracts is required Understanding of biostatistics as applied to study data is required Proficient with computers and software programs is required Ability to travel 10% of the time is required. 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 & 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 contact us via *******************/contact-us/careers or contact AskGS to be directed to your accommodation resource. #LI-VY1 #LI-Hybrid Required Skills: Preferred Skills: Clinical Evaluations, Coaching, Critical Thinking, Drug Discovery Development, Entrepreneurship, Good Clinical Practice (GCP), Leadership, Medicines and Device Development and Regulation, Organizing, Regulatory Affairs Management, Relationship Building, Research Documents, Safety-Oriented, Scientific Research, Standard Scientific Processes and Procedures, Strategic Change, Study Management The anticipated base pay range for this position is : $134,000.00 - $231,150.00 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)). Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits: Vacation -120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year Holiday pay, including Floating Holidays -13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year Caregiver Leave - 80 hours in a 52-week rolling period10 days Volunteer Leave - 32 hours per calendar year Military Spouse Time-Off - 80 hours per calendar year

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 ******************* Job Function: Discovery & Pre-Clinical/Clinical Development Job Sub Function: Clinical Development & Research - Non-MD Job Category: Scientific/Technology All Job Posting Locations: Irvine, California, United States of America, Milpitas, California, United States of America Job Description: About Vision Fueled by innovation at the intersection of biology and technology, we're developing the next generation of smarter, less invasive, more personalized treatments. Are you passionate about improving and expanding on the possibilities of vision treatments? Ready to join a team that's reimagining how vision is improved? Our Vision team solves the toughest health challenges. Help combine cutting-edge insights, science, technology, and people to encourage eye care professionals and patients to proactively protect, correct and enhance healthy sight for life. Our products and services address these needs - from the pediatric to aging eye - in a patient's lifetime. Your unique talents will help patients on their journey to wellness. Learn more at *******************/medtech We are searching for the best talent for a Principal Clinical Research Scientist - Equipment Platform Vision. The role is based on either the Irvine, CA or Milpitas, CA campuses. Purpose: The Principal Clinical Research Scientist - Equipment Platform Vision is an expert in ophthalmic and medical device research who is a core team member on key projects. Your insights will drive the strategic direction for crafting clinical programs that generate scientific evidence to bring new technologies to eye care professionals and their patients. You should have an in-depth understanding of clinical research (science and execution), as well as familiarity with new product development, design control, and ophthalmic device regulations. A good grasp of related healthcare markets and clinical trends is also beneficial. You demonstrate a consistent track record as a key leader and contributor in complex projects, who delivers as promised. Be able to independently build collaborative relationships, influence and align with your functional partners, prioritize multiple projects, and delegate when efficient. You will be responsible for: Represent Clinical Science as core team member on critical projects, liaising between project and functional teams, and coordinating with Clinical Operations and Project Management partners to deliver on time, within budget, and in compliance with regulations and SOPs Activate and build collaborative relationships with across business platforms as well as key cross-functional partners (e.g., Global Strategic Marketing, Medical Affairs, Regulatory Affairs, R&D, etc.) to ensure consistent alignment in new product development and through product life cycle Lead initiatives for appropriate interpretation and dissemination of all evidence generated, including Clinical Study Reports, abstracts, manuscripts, and MDR-related documents (CER, PMCF, Clinical Plans, etc.) Contribute to clinical scientific discussions with regulatory agencies that support the clinical and regulatory strategy, including proposed investigations, review process of evidence to support marketing authorization, and support of regulatory inspections Engage and collaborate with industry's key opinion leaders, including KOLs and regulatory agencies, and build on relationships established through professional/technical societies Performs other related duties as assigned by management Qualifications An advanced degree in a Scientific Field is required. A Doctoral Degree-Optometry or MD with specialty in Ophthalmology is highly recommend. Other: Post-graduate degree or residency is preferred Minimum of 8 years of relevant clinical / scientific work experience, including leadership functions (ie. leading or mentoring teams, non-managerial leadership experiences) is required Experience in software-driven medical devices and capital equipment is preferred Strong technical writing ability, such as clinical study protocols, reports and abstracts is required Understanding of biostatistics as applied to study data is required Proficient with computers and software programs is required Ability to travel 10% of the time is required. 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 & 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 contact us via *******************/contact-us/careers or contact AskGS to be directed to your accommodation resource. #LI-VY1 #LI-Hybrid Required Skills: Preferred Skills: Clinical Evaluations, Coaching, Critical Thinking, Drug Discovery Development, Entrepreneurship, Good Clinical Practice (GCP), Leadership, Medicines and Device Development and Regulation, Organizing, Regulatory Affairs Management, Relationship Building, Research Documents, Safety-Oriented, Scientific Research, Standard Scientific Processes and Procedures, Strategic Change, Study Management The anticipated base pay range for this position is : $134,000.00 - $231,150.00 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)). Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits: Vacation -120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year Holiday pay, including Floating Holidays -13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year Caregiver Leave - 80 hours in a 52-week rolling period10 days Volunteer Leave - 32 hours per calendar year Military Spouse Time-Off - 80 hours per calendar year

Role OverviewThe Clinical Trial Research Scientist evaluates clinical study protocols, trial designs, endpoints, statistical plans, and study results. This role emphasizes methodological rigor, documentation clarity, and accurate interpretation of safety and efficacy outcomes. What You'll Do- Review clinical trial protocols and identify methodological strengths or gaps - Analyze endpoints, inclusion/exclusion criteria, and study controls - Interpret trial results and summarize safety and efficacy findings - Validate statistical analysis plans for completeness and accuracy - Identify operational or scientific risks in trial execution - Support recurring evaluations of clinical documentation and study outputs What You BringMust-Have:- Experience in clinical research, biostatistics, or pharmaceutical science - Strong understanding of trial methodology and regulatory standards - Ability to interpret trial data and communicate findings clearly Nice-to-Have:- Experience with Phase I-IV trials or specific therapeutic areas

The Opportunity State-of-the-art technologies that measure multiple cellular aspects of in-vitro biology are at the heart of insitro's efforts to accelerate drug development. Computational biology is key to elucidating the relationship between these phenotypes and human disease and translating them into actionable outcomes. We are looking for an expert in omics data analysis, including deep understanding of cell biology and single cell transcriptomics, and fluent with state-of-the-art analysis techniques. Your expertise will help the team navigate the complexities developing disease relevant cell models and analyzing high throughput phenotypic screens, and ensure that the tools being developed are calibrated and effective, and that analyses are performed to the highest rigor and in line with best practices in the broader scientific community. In this role, you will collaborate closely with experimental biologists and machine learning scientists, support the identification of novel phenotypes, the development of new screening paradigms, and advance our understanding of disease. You will utilize diverse machine learning and bioinformatic methods to perform diverse downstream analyses, including integrating with other data modalities, including imaging and human cohort data in order to extract insights about disease mechanisms. You will be part of a cross-functional team of life scientists, data scientists, bioengineers, software engineers, and machine learning scientists that strive to identify therapeutic targets and develop drugs of high efficacy and low toxicity. This role will be reporting to the Head of Computational Biology and ML-Omics . This is a hybrid position that requires you to be in our South San Francisco headquarters at least three days per week. You will be joining a vibrant biotech startup that has many opportunities for significant impact. You will work closely with a highly talented team, learn a broad range of skills, and help shape insitro's culture, strategic direction, and outcomes. Join us, and help make a difference to patients! Responsibilities * Analyze and interpret omics datasets from disease-relevant in-vitro models to identify potential therapeutic targets from perturbation screens * Partner with experimental biologists to design, troubleshoot, and optimize high-throughput experiments and workflows * Integrate insights from multimodal data (bulk/single-cell RNA-seq, microscopy, spatial proteomics, human cohort data) to understand disease mechanisms and generate therapeutic hypotheses * Calibrate analysis tools and workflows, define performance metrics, and conduct benchmarking to select fit-for-purpose solutions * Communicate findings clearly to cross-functional stakeholders through reports, visualizations, presentations, and publications About You * Ph.D. in computational biology, systems biology, bioengineering, machine learning, or a related discipline, with 3+ years of working experience post graduation * Extensive hands on experience analyzing single-cell and bulk RNA-seq data * Experience working with functional genomic assays data (RNA/ATAC/ChIP-seq, etc) * Experience analyzing data from perturbational screens (e.g. perturb-seq) * An understanding of systems biology, molecular biology, or disease biology (e.g. neurological disorders, metabolic disorders) * Experience with spatial proteomics and/or transcriptomics * Strong programming skills and proficiency with Python scientific packages (i.e., numpy, pandas, scanpy) * Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions * Committed to writing well-commented code and documentation, and familiarity with coding best practices (i.e. version control, code review) * Publication record of meaningful contributions to high-quality work in relevant computational biology, systems biology, life sciences, or biomedical venues Compensation & Benefits at insitro Our target starting salary for successful US-based applicants for this role is $175,000 - $200,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data. This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies. In addition, insitro also provides our employees: * 401(k) plan with employer matching for contributions * Excellent medical, dental, and vision coverage as well as mental health and well-being support * Open, flexible vacation policy * Paid parental leave of at least 16 weeks to support parents who give birth, and 10 weeks for a new parent (inclusive of birth, adoption, fostering, etc) * Quarterly budget for books and online courses for self-development * Support to attend professional conferences that are meaningful to your career growth and role's responsibilities * New hire stipend for home office setup * Monthly cell phone & internet stipend * Access to free onsite baristas and cafe with daily lunch and breakfast for employees who are either onsite or hybrid * Access to free onsite fitness center for employees who are either onsite or hybrid * Access to a free commuter bus and ferry network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area insitro is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teams-grounded in a wide range of expertise and life experiences-and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices. All candidates can expect equitable treatment, respect, and fairness throughout the interview process. Please be aware of recruitment scams: we never request payments, all recruitment communications are from @insitro.com, and if in doubt, contact us at ****************. #LI-Hybrid About insitro insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. At the core of insitro's approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data. We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease. These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of insights and therapeutics in neuroscience and metabolism. Since launching in 2018, insitro has raised over $700 million from top tech, biotech and crossover investors, and from collaborations with pharmaceutical partners. For more information on insitro, please visit ****************

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. Responsibilities: The Scientist - TSMS PAR will initially focus on the delivery of parenteral operations, specifically regarding technical transfer and process validation. TSMS PAR Scientists will support one of either formulation, filling, or visual inspection (VI), although may support multiple areas during start-up phase. Upon the start of commercial production, this role's objectives include maintaining the validated state of applicable processes, establishing and monitoring metrics/methods to ensure a state of capability and control, harmonization of control strategies across process teams, evaluate process improvement, and serving as an escalation point for day-to-day operations issues. The role will also author and execute protocols as well as conduct root cause investigations. The principal role is a position that develops and implements a technical agenda and is responsible for providing technical leadership for the Parenteral Process Team. The principal role expected to serve as a mentor within the TSMS team and engage in upstream and external to site activities related to parenteral manufacturing. Key Objectives/Deliverables: * Support the assigned Process Team (formulation, filling, or VI) as TSMS representative. • (Associate/Senior) Serve as floor-level support and technical interface for manufacturing components, equipment, and operations for the TSMS team. * Represent Concord TSMS team for internal and external communications on a regular basis * Lead risk management activities as it pertains to product/process * Provide technical support to non-routine (e.g., deviation, complaint) investigations, including consultation on quality and stability issues * Prepare and Review or approve, as required, relevant technical documents such as: Annual Product Reviews, Change Controls, Regulatory Submissions, Deviations, Validations, Procedures, PFDs, PFMEAs, etc. * Develop, monitor, and appropriately react to established statistically based metrics in real-time to assess process variability and capability * Identify opportunities and lead technical projects to improve process control and/or productivity * Serve as interface with upstream suppliers and parenteral product networks * Drive stability strategy for Concord products * Provide Audit support as needed * Identify opportunities and participate in projects to improve process control and/or productivity Basic Qualifications: * Bachelor's degree or higher an engineering, packaging science, or related field Additional Skills/Preferences: * Pharmaceutical and/or medical device manufacturing experience * Root Cause Investigation Experience * Proficiency with computer systems including Microsoft Office products, Veeva Vault, TrackWise, electronic batch records, and SAP * Demonstrated successful leadership of cross-functional teams * Strong interpersonal and teamwork skills * Strong self-management and organizational skills Additional Information: * Role is Monday through Friday. Must be flexible in providing support to accommodate other inputs (production schedules, shutdowns, etc.). Occasional extended hour and /or off-hour work may be required. Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (******************************************************** for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), en Able (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is $66,000 - $171,600 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly