Research scientist jobs in Warwick, RI

Data and Evaluation Applied AI Scientist (Battery Informatics and Scientific AI Systems) $180k - $310k A fast growing energy technology company is expanding its AI research division and is looking for a Data and Evaluation Applied AI Scientist. The team builds advanced AI systems to accelerate discovery in energy storage and next generation battery materials. This role focuses on data correctness, scientific reasoning quality, and the integrity of battery domain knowledge used to train LLMs and multi agent scientific frameworks. The company combines material science and applied AI to develop high energy Li Metal and Li ion battery technologies. Their platform uses AI enhanced discovery to design electrolytes, model electrochemical behavior, and develop new materials with real world applications across transportation, robotics, aerospace, and long duration energy storage. What You Will Do • Translate complex battery materials knowledge into structured, high quality, AI trainable datasets • Lead rigorous data validation, cleaning, and annotation processes to ensure scientific correctness • Create benchmark datasets and design multimodal evaluation suites for model testing • Partner with AI architecture teams to assess and refine model reasoning across chemistry, materials, and electrochemical concepts • Apply techniques that improve correctness and alignment, including methods inspired by human feedback systems • Ensure that AI models demonstrate accurate understanding of molecular behavior, materials interactions, and battery domain logic • Drive the application of battery informatics principles across data pipelines and model development What You Bring • PhD in Chemical Engineering with a focus on lithium battery systems or in Materials Science or a closely related computational field • Deep domain expertise in battery materials and electrochemical systems • Strong experience converting scientific data into AI trainable structures • Practical experience with data validation, annotation, and benchmark dataset creation • Exposure to LLM pipelines, AI evaluation, or multi agent scientific workflows • Background in an applied science or AI for materials role Preferred Experience • Hands on experience with RLHF or other model tuning and alignment techniques • Work history in battery labs, materials informatics teams, or AI4Science groups • Experience designing domain specific evaluation frameworks for complex AI systems • Experience as a computational battery AI specialist

The Vlachos Lab and the Spatial Technologies Unit (************************** are currently looking for talented postdoctoral researchers to lead large-scale spatial/single cell initiatives within our research program as well as to devise novel AI/ML and computational biology methods that will enable us to bring these two novel technologies closer to translation. The researcher will have the ability to leverage some of the most extensive single cell and spatial transcriptomic datasets to date, generated in-house. Available projects revolve around cancer immunology, novel immunotherapies (CAR-T, bi-specifics, mRNA cancer vaccines), and autoimmunity research. We generate extensive data and employ, develop, utilize cutting-edge artificial intelligence and machine learning (AI/ML) to generate next-generation insights for novel targets or patient stratification. The Vlachos lab is also part of large scale initiatives, such as the Human Biomolecular Atlas Project (HuBMAP - ************************** enabling the postdoctoral researcher become an integral part of the single cell and spatial community. Local and International Applicants are encouraged to apply The Postdoc Single Cell and Spatial Technologies Bioinformatician will have the chance to be incorporated in cutting-edge research conducted in the Vlachos Lab, the Spatial Technologies Unit (**************************, in Beth Israel Deaconess Medical Center, Harvard Medical School, and the Broad Institute of MIT and Harvard. The position aims for candidates with a strong quantitative and computational background with extensive experience in genomics/transcriptomics (analysis of different bulk/single cell/spatial Next Generation sequencing Techniques as well as development of novel methods). A strong background in machine learning applications is considered a plus. Our location within the CRI, the first Institute for RNA Medicine in Boston, Harvard Medical School, and the Broad Institute of MIT and Harvard, creates a unique environment for avant-garde research and scientific growth. The researcher will receive training on research, grant writing, career development, and mentoring. She/he will have the opportunity to lead impactful projects and collaborate directly with an extensive network of leading researchers and companies in the US and internationally. Successful applicants will receive a competitive remuneration and benefits package. Essential Skills · Extensive experience in handling and analyzing Next Generation Sequencing data · PhD in a relevant subject area (Computational Biology, Population Genetics/Genomics, Bioinformatics, Biostatistics) · Strong quantitative background (e.g. BSc in Computer Science, Applied Math, Engineering, Biostatistics) · Experience in bioinformatics/data analysis using R/Bioconductor · Experience in linux-based environments and high-performance computing · Proven experience in AI/ML solutions · Great programming skills · Effective science communication Ideal Skills · Single cell and/or spatial -omics data analysis experience · Strong publishing record · Theoretical and practical AI/ML background · Lead and coordinate extensive projects For methods builders we also welcome links to github/bitbucket pages, and relevant bioinformatics/computational biology/machine learning community contributions. We are an equal Opportunity Employer and we welcome applications from women, persons with disabilities, protected veterans, and members of minority groups. International applicants are welcome to apply.'

Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. Join a world-class research team dedicated to reducing the impact of natural hazards and climate risks. FM is a market leader in commercial and industrial property insurance and loss prevention, serving over one-third of FORTUNE 1000 companies with engineering-based risk management and property insurance solutions. FM helps clients maintain business continuity through state-of-the-art engineering and research. The Structures and Geohazards Research Group at FM is seeking a creative and self-motivated Senior Research Scientist with a strong foundation in wind engineering and a specialized focus on computational wind engineering (CWE). The ideal candidate will possess deep expertise in fluid dynamics, high-performance computing, and wind tunnel testing, along with a demonstrated ability to conduct innovative, high-impact research. This role is integral to a strategic research initiative aimed at advancing the understanding of wind-related hazards and developing effective mitigation strategies. The successful candidate will contribute to cutting-edge projects that blend computational modeling with experimental validation to address real-world challenges in wind engineering. Responsibilities: Develop computational fluid dynamics (CFD) models to simulate wind flow around buildings and infrastructure, capturing complex aerodynamic interactions. Analyze wind loading on structures using high-resolution simulations; validate results with wind tunnel experiments or field measurements. Collaborate with interdisciplinary teams to incorporate wind effects into risk models, design standards, and resilience strategies. Publish and present research in peer-reviewed journals and at scientific or industry conferences. Contribute to strategic planning and innovation in wind engineering research initiatives. PhD degree. Mechanical, Civil, Aerospace Engineering or related fields. Hands-on experience with CFD software, both open-source (e.g., OpenFOAM) and commercial (e.g., ANSYS Fluent). Proficient in programming languages such as C++, Python, R, MATLAB. Skilled in high-performance computing (HPC) and parallel computing environments. Experience with wind tunnel testing or field measurements is highly desirable. Familiarity with relevant building codes and standards is a plus. Proven track record of publishing high-quality research and effectively communicating complex technical concepts to diverse audiences.Strong problem-solving abilities, creativity, and the capacity to work independently as well as collaboratively. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, time off allowances and much more. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.

Responsibilities: Conducting proprietary research evaluating biotech companies' therapeutic pipeline by analyzing scientific literature, attending medical conferences, and consulting industry experts Writing research reports for initiations of coverage, analysis of data, deep dive in disease/ technology/ IP/ regulation/ policy, and industry/ company news Building and maintaining financial models Conceiving and executing on differentiated project ideas Interfacing with company management teams, internal sales and trading personnel, and institutional investors Candidate should understand that the team is highly motivated to become top-ranked in the biotech equity research Qualifications: ~1+ years of biopharmaceutical investment research, consulting, or industry; prior experience in biopharmaceuticals equity research with full license is a plus Motivated to rise in the sell-side industry in the long-term Advanced degree (PhD/MD/ PharmD) in life sciences preferred, though not required; a strong academic track record is essential Proficiency in written/verbal communication Experience building financial models using excel a required on-the-job skill; prior experience is a plus Motivated, hard-working, attention to detail, team player Can type >120 words per minute Primary Location Full Time Salary Range of $100,000 - $120,000.

SES AI Corp. (NYSE: SES) is dedicated to accelerating the world's energy transition through groundbreaking material discovery and advanced battery management. We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and high-power-density Li-Metal and Li-ion batteries are unique; they are the first in the world to utilize electrolyte materials discovered by AI. This powerful combination of "AI for science" and material engineering enables batteries that can be used across various applications, including transportation (land and air), energy storage, robotics, and drones. To learn more about us, please visit: ********** What We Offer: A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program within our NYSE-listed company. The opportunity to contribute directly to a meaningful scientific project-accelerating the global energy transition-with a clear and broad public impact. Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material science, driving the next generation of battery technology. Significant opportunities for professional growth and career development as you work alongside leading experts in AI, R&D, and engineering. Access to state-of-the-art facilities and proprietary technologies are used to discover and deploy AI-enhanced battery solutions. What we Need: The SES AI Prometheus team is seeking an exceptional Scientist, Molecular AI Architecture to pioneer the convergence of biological computation, large-scale multimodal foundation models, and explainable AI architectures. This visionary role will drive next-generation materials discovery by developing novel AI systems. Essential Duties and Responsibilities: AI Architecture & Design: Architect novel AI systems and deep neural architectures (e.g., Transformers, CNNs) inspired by principles of systems neuroscience and neural coding principles. Design and implement large-scale multimodal foundation models and agentic AI systems capable of complex reasoning over molecular and battery datasets. Develop methods for model interpretability, representation engineering, and causal reasoning to ensure AI results are explainable and trustworthy for materials science. High-Performance Computing & Efficiency Lead software development efforts for high-performance computing (HPC), focusing heavily on GPU programming and scaling the training and inference efficiency of large neural networks. Optimize complex ML frameworks (like JAX) within systems and cluster computing environments (e.g., Singularity). Scientific ML Integration Create automated data-labeling and behavioral encoding models specifically designed to enhance Molecular AI training and data efficiency. Apply Scientific ML principles to complex molecular and battery datasets, translating biological computation concepts into practical AI solutions for materials discovery. Education and/or Experience: Education: Ph.D. in Computational and Systems Biology, Computational Neuroscience, or a closely related quantitative field. Core Expertise: Deep, demonstrated expertise in systems neuroscience, machine learning, and the design and implementation of deep neural architecture. HPC Software: Proven experience with software development for High-Performance Computing (HPC) environments, including expert-level GPU programming. Model Design: Practical experience in designing and training foundation models and working with concepts like multi-agent reasoning models. Interpretability Focus: Demonstrated work in model interpretability and representation engineering applied to complex scientific data. Preferred Qualifications: Specialized Frameworks: Practical experience with advanced mathematical and machine learning frameworks like JAX and Julia. Advanced Techniques: Expertise in Bayesian inference and working within specialized container/computing environments like Singularity. Advanced AI: Experience with the design and application of agentic AI systems and multimodal reasoning architectures.

Job Title: Senior Scientist / Associate Principal Scientist, Chemical Engineering R&D FLSA Status: Exempt Salary: $100,000-$160,0000 Pharmaron is a global CRO helping pharma and biotech companies bring new therapies to life. With over 21,000 employees worldwide across 23 locations in the US, UK and China, we support drug discovery through to manufacturing with fully integrated, high-quality services. We're proud of the impact we make and just last year, we supported over 780 discovery projects, 1,000+ CMC programmes, and 1,000+ clinical trials across all phases. Our teams are involved in everything from small molecules to biologics and gene therapies, and we work with more than 3,000 global customers. To learn more, visit ****************** About the Role The Pharmaron Process Chemistry department is seeking highly motivated Chemical Engineers for an exciting role involving hands-on small-molecule process development and scale-up from laboratory to commercial manufacturing. Engineers in this position will design, plan, and implement both chemistry laboratory and in-silico experiments to support process and technology development for active pharmaceutical ingredients (APIs). This position will combine elements of chemistry, engineering, technology development, and data analysis to optimize manufacturing processes. Strong teamwork, innovation, creativity, and organizational skills are essential, along with clear and confident communication to address technical challenges. Effective collaboration across multidisciplinary teams in the US, UK, and China, is critical, and a strong commitment to safety, quality compliance, and technical leadership is expected throughout all activities. Key Responsibilities Perform hands-on small molecule process development and scale-up work. Use Design of Experiments (DoE) for process screening, optimization, and robustness studies. Define CPPs, PARs, NORs, and contribute to the development of scalable control strategies. Apply process analytical technology (PAT) and process modeling. Evaluate and model kinetics, mixing, mass/heat transfer, and reactor performance. Conduct independent research to achieve mechanistic understanding for rational process design. Design and optimize key unit operations including crystallization, filtration, drying, distillation, and extraction. Use process modeling tools to inform scale-up strategies. Translate lab-scale findings into actionable parameters for kilo lab and GMP manufacturing. Drive cycle time reduction and process intensification initiatives. Implement innovative technologies such as continuous flow chemistry and automation platforms. Support internal and external tech transfer activities, including scale-up studies, modeling, and verification experiments. Support development of complex transformations such as catalytic hydrogenation. Exhibit a mindset of safety and quality compliance. Collaborate cross-functionally within US, UK, and China-based teams. Required Experience & Skills Education Minimum Requirement: The position requires either a BS and/or MS in Chemical Engineering (or comparable) from an accredited college/university plus at least 5 years of relevant work experience in small-molecule chemical process development - OR - a PhD in Chemical Engineering (or comparable) from an accredited college/university with at least 2 years of relevant work experience post PhD defense. Experience performing lab-based research/process development in a chemical engineering-related area. Experience with organic chemical synthesis and wet chemistry. Experience with small molecule pharmaceutical drug substance development. Experience applying statistical experimental design (i.e. Design of Experiments) and/or process modeling. A high level of innovation, creativity, and self-initiative. Highly effective communication and collaboration skills. Good organizational, interpersonal, writing, and time management skills. Preferred Experience & Skills Experience with process scale-up and/or technology transfer, moving from laboratory to pilot plant or production scale. Familiarity with concepts and application of cGMP and GDP during pharmaceutical development and production. Demonstrated experience with chemical engineering-related technology development. Familiarity with kilo-scale laboratory equipment. Experience with process modeling (e.g., population balance modeling, distillation modeling). Knowledge with milling equipment (spiral jet mills, pin mills, co-mills, rotor-stator wet mills). Why Pharmaron? Collaborative Culture: Thrive in our inclusive and collaborative environment, where teamwork and innovation go hand in hand. Here, your voice matters, and your contributions make a real impact. "Employees Number One" and "Clients Centered" are the core cultural values at Pharmaron. Our culture, which sets Pharmaron apart from other organizations, has evolved from our deep commitment to our employees, partners and collaborators. Benefits: As part of our commitment to your well-being, we offer a comprehensive benefits package: Insurance including Medical, Dental & Vision with significant employer contributions Employer-funded Health Reimbursement Account Healthcare & Dependent Care Flexible Spending Accounts 100% Employer-paid Employee Life and AD&D Insurance, Short and Long Term Disability Insurance 401k plan with generous employer match Access to an Employee Assistance Program How to Apply: Ready to seize this incredible opportunity? Join us at Pharmaron and be part of a dynamic team driving innovation and excellence in biopharmaceutical research and development. Apply online today! Pharmaron is a premier service provider for the life sciences industry. Founded in 2004, Pharmaron has invested in its people and facilities and established a broad spectrum of research, development, and manufacturing service capabilities throughout the entire drug discovery, preclinical, and clinical development process across multiple therapeutic modalities, including small molecules, biologics, and CGT products. With over 21,000 employees and operations in the U.S., the U.K. and China. Pharmaron has an excellent track record in delivering R&D solutions to its partners in North America, Europe, Japan, and China. As an Equal Employment Opportunity and Affirmative Action employer, Pharmaron values diversity and inclusion in the workplace, fostering an environment where all individuals are empowered to succeed. Join us in our mission to make a difference in the world of life sciences.

General information Location Cambridge, MA Ref # 43395 Job Family Research Date published 12/09/2025 Time Type Full time Pay Range 100,000 - 140,000 Usd Annual Description & Requirements The Broad Institute of MIT and Harvard is the world's leading biomedical research institute dedicated to the bold mission of using the full power of genomics to transform the understanding and treatment of disease. We seek to describe all of the molecular components of life and their connections; discover the molecular basis of major human diseases; develop effective new approaches to diagnostics and therapeutics; and disseminate discoveries, tools, methods, and data openly to the entire scientific community. We are seeking a highly motivated and innovative scientist to lead collaborative initiatives in partnership with the Cancer Dependency Map and Cancer Cell Line Factory programs and the Sellers and Getz labs at the Broad Institute. The primary goal of this role is to develop advanced laboratory cellular models to enable functional genomics, drug screening, and drug resistance studies. Our current focus is on deriving 3D models for pediatric and rare cancers, with an initial pilot to generate cancer-resistant cell lines for major oncology drugs. This work will lay the foundation for expanding cancer cell line diversity through additional grant funding and external collaborations. The ideal candidate will be a proactive, curious scientist with a strong background in cell biology, patient-derived cancer models, drug resistance research, and platform development. This position also offers the opportunity to build leadership skills while working closely with Senior Group Leaders. Qualified candidates should have: A Ph.D.in a biological science (such as cell biology, biochemistry, cancer biology, or a related field) and a completed or soon-to-be-completed postdoctoral fellowship in a similar field. 2+ years of experience as a postdoc or in the industry. Excellent organizational and time management skills with strong attention to detail. Experience in cell biology with a focus on method development, team management, and mentoring junior research associates is highly desirable. Required Skills: Self-motivated and curious, with the ability to lead scientific research effectively. Demonstrated excellent problem-solving and communication skills with leadership, colleagues, and junior research associates. Track record of independently delivering scientific results. Expertise in molecular and cell biology techniques, including flow cytometry, immunofluorescence staining, Western blotting, ELISA, HTS cell culturing, 3D cell culturing, drug testing, etc. Impeccable and efficient experimental design, assay development, and execution. Strong commitment to "leading from the bench". Excellent interpersonal, written, and oral communication skills, perform detailed data analysis, and accurate record-keeping to support the cell model team members. Extensive experience in following and improving assay protocols is preferred. Responsibilities: Lead experimental design for cell model development, implement newly developed protocols, and conduct proof-of-concept studies to evaluate feasibility and optimize workflows. Serve as the technical lead and subject matter expert for cell model development efforts, driving strategic improvements to enhance efficiency, success rates, and overall platform capabilities. Validate cell models through sequencing technologies and oversee model fidelity assessments using flow cytometry, immunofluorescence, western blotting, and other relevant assays in collaboration with internal Scientists and Research Associates. Lead drug resistance modeling projects to establish oncology drug-resistant clones for functional genomics analyses. Manage and mentor Research Associates, fostering scientific and professional growth while ensuring high-quality data generation. Collaborate with Sellers Lab, Getz Lab, Cancer Dependency Map, PRISM drug screening, Cancer Genomics, and Cancer Data Sciences teams to advance research initiatives and share expertise. Coordinate closely with cancer genomics core staff to integrate experimental data with genomic insights for comprehensive analysis and interpretation. Identify opportunities for platform innovation and expansion to address emerging scientific needs and challenges. Partner with internal teams on large-molecule discovery and validation efforts to support broader oncology research goals. The expected base pay range for this position as listed above is based on a 40 hour per week schedule. Broad provides pay ranges representing its reasonable and good faith estimate of what the organization reasonably expects to pay for a position at the time of posting. Actual compensation will vary based on factors including but not limited to, relevant skills, experience, education, qualifications, and other factors permissible by law. At Broad, your base pay is just one part of a comprehensive total rewards package. From day one, this role offers a competitive benefits package including medical, dental, vision, life, and disability insurance; a 401(k) retirement plan; flexible spending and health savings accounts; at least 13 paid holidays; winter closure; paid time off; parental and family care leave; and an employee assistance program, among other Broad benefits. The Broad Institute is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, disability, protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. Should you need a reasonable accommodation to complete the application or interview process, please contact ***************************** for assistance.

Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost. • The purpose of this position is to provide support in evaluating various rodent genetic backgrounds in eliciting robust immune response within GBT. • By performing phenotypic analysis of B cell compartment, deep sequencing of B cell repertoire, and studying antibody responses from immunized rodents, we will be able to understand the utility of these animals in biotherapeutic development. • The incumbent, under the supervision by Pharmaceutical scientist, will be involved in the evaluation of the animals through the use of various immunogens, immunization approaches, and characterization method Specific job description: • Perform phenotypic analysis of lymphocyte compartments of rodents • Perform deep sequencing of B cell repertoire of animals and analyze repertoire diversity pre and post immunization • Immunize rodents using various strategies • Characterize antibodies diversity post immunization • Clone and express desired monoclonal antibodies for further analysis Experience: • Knowledge and work experience in the B cell phenotypic analysis by Flow Cytometry • Knowledge and work experience in hybridoma generation • Knowledge and work experience in rodent primary B cell culture • Knowledge and work experience in Ig cloning from B cell • Knowledge and work experience in affinity purification of polyclonal antibodies • Knowledge and work experience in screening and functional assay development for selecting specific monoclonal antibodies • Work experience in NGS of Ig repertoire • Relevant industrial experience is preferred Specific work plan: a) Perform all aspects of phenotypic analysis of lymphocyte compartments of rodents b) Perform, design and analyze B cell repertoire of rodents by deep sequencing c) Perform and design immunization strategies and generate hybridoma d) Evaluate and characterize immune response and monoclonal antibodies from desired rodents e) Contribute to drafting relevant documentation such as immunization protocols, phenotypic and repertoire analysis reports and laboratory methods. Qualifications Bachelor's degree required Additional Information Best Regards, Anuj Mehta ************

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. At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing, and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism. The LIGM RNA Group is seeking an experienced analytical scientist with extensive hands-on experience in analytical techniques for characterizing and analyzing small molecules, biologics, and/or oligonucleotides. The ideal candidate will have a proven track record in analytical method development and troubleshooting, as well as experience with liquid chromatography, (high resolution) mass spectrometry, and other advanced analytical techniques. They must possess strong technical problem-solving skills, be computer savvy with the ability to navigate multiple instrument control programs and data analysis environments, and be able to work independently to achieve efficient, quality results in a fast-paced environment. Responsibilities: Work closely with the chemistry team to source, explore, and implement the latest separation science and analytical technologies for the purification and characterization of oligonucleotides and their conjugates, including carbohydrates, lipids, peptides, and proteins. Conduct LC and LC-MS based method development for sensitive characterization of biologics including intact mass, reduced mass, peptide mapping, and glycan mapping to provide better understanding of attributes. Conduct semi-preparative and preparative method development activities to advance downstream processing for challenging modified oligonucleotides, utilizing RP purification, ion-exchange chromatography, spin filtration, TFF, FPLC, size exclusion chromatography, and MS-direct auto-scale preparative LC-MS techniques. Work with contractors and third-party vendors to troubleshoot and maintain lab instruments, including but not limited to UPLC, LC-MS, osmometer, and NanoDrop, ensuring they remain in peak operational condition. Learn new technologies quickly and apply effective scientific concepts and methods across multiple areas. Process and present data leveraging Microsoft Office apps, GraphPad and Spotfire for data organization and data visualization. Document experiments, data, technical reports, and findings electronically in an accessible manner with good documentation practices. Present findings, progress, and data proactively and regularly in group and department meetings. Possess a collaborative and willing-to-share mindset with excellent verbal and written communication skills, presentation skills, and attention to detail. Ability to follow Global Health, Safety & Environment Center (HSE) guidelines while performing tasks. Basic Qualifications: Bachelor's or Master's degree in Analytical Chemistry, Biochemistry, Chemistry, Food Science, or a related scientific field, with over 2 years of relevant post-graduate experience in industry. Additional Skills/Preferences: Strong analytical thinking skills with a demonstrated ability to articulate issues and extract and synthesize complex information into key focus areas. Extensive experience in operating and troubleshooting a range of mass spectrometers including Q-ToF, QQQ and Orbitrap Proficient with Thermo XCalibur, Agilent ChemStation and MassHunter software. Understanding tandem mass spectrometry and interpretation of MS/MS based characterization of including but not limited to peptide, peptide-oligonucleotide conjugates, and lipid conjugates. Extensive hands-on experience in downstream workflows for small molecules, biologics, and oligonucleotides. Experience with antibody-drug-conjugates (ADCs) or antibody-oligonucleotide-conjugates (AOCs) is a plus. Proven expertise in liquid chromatography including ion-pair reverse phase liquid chromatography as well as ion chromatography. Prior experience in native mass spectrometry and understanding of electrospray ionization as well as molecular behavior in the gas phase. Prior experience in proteomics, bioanalysis, and/or CMC is a significant advantage. Highly self-motivated and self-driven attitude with ability to own and drive projects into success. Strong organizational and communication skills and effective people skills. Capable of continuous learning, open-minded, highly organized, and detail oriented. Ability to balance multiple activities, prioritize and handle ambiguity. 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 $71,250 - $187,000 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

At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where 'Health for all Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice. Computational Biologist, Principal Scientist - CVRI The Computational Biologist is responsible for the evaluation of therapeutic hypotheses via integration and quantitative analyses of internal & external multi-omics data sources (DNA, RNA, proteomics, metabolomics, imaging, etc) for CardioVascular, renal and immunology Therapeutic Areas. Significant contributions to innovative research and development projects or collaborations, such as: identifying new targets with multi-omics evidence; assessing the link between targets and disease biology; proposing pharmacodynamic, efficacy or selection biomarkers; evaluating biomarker hypotheses from clinical trial specimens; assessing novel technologies; supporting therapeutic lifecycle management. Adopts and contributes to Best Practices for novel technologies, quantitative analyses, visualizations, and biological insight generation from multi-omics data sources. YOUR TASKS AND RESPONSIBILITIES The primary responsibilities of the Computational Biologist are to: * Evaluate and contextualize the molecular evidence supporting a therapeutic hypothesis with relevant internal and external multi-omics data (DNA, RNA, proteomics, metabolomics, imaging, etc); * Contribute to Project Team scientific strategy and prosecution of critical path objectives, such as the identification of novel targets, biomarkers, or patient selection hypotheses. These contributions use state-of-the art computational biology methods to analyze large and complex human data sets; * Deliver biological insights on therapeutic assets and disease biology understanding to Project Teams, who apply these insights towards stage-gate decisions, portfolio prioritization, and/or submissions to Health Authorities; * Educate Project Teams on innovations in disease understanding in the CardioVascular, renal and immunology Therapeutic Areas; * Develop, evaluate, implement, and apply Best Practices for the execution and validity of quantitative analyses, integration, visualizations, and interpretation of multi-omics data. Demonstrate a growth mindset towards updating Best Practices with the emergence of new experimental or computational technologies; * Build cross-functional relationships to collaboratively partner across Pharma R&D and effectively network within disease understanding and data science communities of experts. WHO YOU ARE Bayer seeks an incumbent who possesses the following: Required Qualifications: * PhD degree with post-graduation experience in Sciences (Bioinformatics, Computational Biology, Biology, Chemistry, Genetics, Computer Science, Informatics, or other related quantitative discipline) with very strong computational focus; * Demonstrated experience in statistical analysis of DNA-seq, RNA-seq, proteomics, single-cell, or imaging datasets with proficiency in a programming environment (such as R or Python); * Demonstrated hands-on experience in analysis of large scale proteomics, metabolomics datasets; * Demonstrated peer-reviewed publications in computational biology; * Expert level of proficiency to choose fit-for-purpose quantitative analyses; * Strong analytical thinking and scientific rigor; * Strong communication competencies to include presentations and delivery of complex quantitative analyses in a clear, concise, and actionable manner to broad audiences and key stakeholders across multiple functions or to external partners; * Learning agility, highly self-motivated, with an aspiration of continuous improvement of oneself and others; * Evidence of providing tactical and strategic guidance to the pharma portfolio or data science ecosystem; * Demonstrated ability to propose, catalyze, and implement the development of interdisciplinary, systematic solutions that create business value; * Capability to present even very complex issues clearly and convincingly to project teams or decision bodies. Good communication skills. Can manage a high degree of complexity; * Demonstrates advanced business acumen, people and project leadership competencies, and technical expertise. Preferred Qualifications: * 5+ years of post-graduation experience in Sciences (Bioinformatics, Computational Biology, Biology, Chemistry, Genetics, Computer Science, Informatics, or other related quantitative discipline) with very strong computational focus; * 3+ years industry experience in drug development or biotech role with clear understanding of applying multi-omics data analyses to advance a portfolio of drug discovery or clinical development projects. Employees can expect to be paid a salary between $124,864.80 - $187,297.20. Additional compensation may include a bonus or commission (if relevant). Additional benefits include healthcare, vision, dental, retirement, PTO, sick leave, etc. This salary range is merely an estimate and may vary based on an applicant's location, market data/ranges, skills, prior relevant experience, certain degrees and certifications, and other relevant factors. This posting will be available for application until at least 11/05/2025. YOUR APPLICATION Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer. To all recruitment agencies: Bayer does not accept unsolicited third party resumes. Bayer is an Equal Opportunity Employer/Disabled/Veterans Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. Bayer is an E-Verify Employer. Location:United States : Massachusetts : Cambridge Division:Pharmaceuticals Reference Code:855418 Contact Us Email:hrop_*************

Dana-Farber Cancer Institute (DFCI) is seeking a highly motivated Pre-Clinical Scientist to support the research activities at the Experimental Therapeutics (ETx) Core and the Lurie Family Imaging Center (LFIC). The ETx Core and LFIC are co-located in a state-of-the-art 14,000 square-foot preclinical facility, fully equipped with housing and procedure rooms, as well as a suite of in vivo imaging scanners. The Pre-Clinical Scientist will integrate with a highly skilled team of Scientists and Research Associates, and report directly to the Director. The in vivo studies conducted at the facility are focused on cancer research, with an emphasis on in vivo pharmacology, the assessment of novel cancer therapeutics, and multimodality imaging of cancer, and provide key information for the improvement of cancer patient treatment and care. The position is at 27 Dry Dock Ave, South Boston ****************************** Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. The successful candidate will work collaboratively and in concert with a staff of dedicated scientists, animal/imaging technologists/associates, administrative personnel, and clinical counterparts to design and execute oncology related mouse studies using various imaging modalities (BLI/MRI/SPECT/PET/CT, etc) as well as the entire spectrum of conventional (e.g., caliper measurements, clinical scoring) endpoints to evaluate pre-clinical novel cancer therapies. The Pre-Clinical Scientist will work closely with the Director to execute the vision and strategic direction of translational cancer research. The Pre-Clinical Scientist will partner with clinical affiliates to facilitate bidirectional translational cancer science. The Pre-Clinical Scientist will work closely with other Centers and Departments at Dana-Farber that are engaged in research on small animal modeling in cancer and in experimental therapeutics. The Scientist will be expected to develop research projects for presentation at national meetings and publication in peer-reviewed journals. The Pre-Clinical Scientist will build collaborations with principal investigators, other departments, and industrial partners to design experimental therapeutics studies, and will be responsible for the execution, analysis and generation of reports for studies. **Skills and Abilities Required** + Hands-on experience using various cell line and PDX mouse/rat models and orthotopic models to execute in vivo workflows is highly desired. + Familiar with IVIS, PET/CT, MRI and other imaging approaches. + Demonstrated ability to deploy novel in vivo models to enable drug discovery and translational research. + Excellent interpersonal and communication skills with the ability to interact effectively with internal and external collaborators. + Demonstrated expertise in various in vitro methodologies such as immune profiling by flow cytometry, ELISA and Western blot analysis. + Ability to establish independent research and secure external funding + Full-time, M-F; hours may vary with project needs Dana-Farber Cancer Institute supports a robust Scientist career track with multiple opportunities for advancement, leadership, and recognition. The successful candidate will be appointed to a level within the Scientist career track commensurate with his or her accomplishments and abilities. Promotion on this track will be based on achievement of goals. + PhD cancer biology, biology or relevant biological sciences + Minimum of 5 years' experience in pre-clinical pharmacology pre- or post-PhD + Established track record of research publications, preferably in cancer research + Builds productive internal/external working relationships. + Having wide-ranging experience, uses technical concepts and Institute objectives to resolve complex issues in creative and effective ways. + Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. + Exercises judgment in selecting methods, techniques and evaluation criteria for obtaining results. + Networks with key contacts outside our own area of expertise. **Pay Transparency Statement** The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA) $80,000 - $82,900 At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. **EEOC Poster**

About Somite Somite.ai is a venture-backed company aiming to become the OpenAI of stem cell biology, developing AI foundation models for human stem cells to drive novel cell therapies at scale. We take a full-stack approach - generating data at 1,000x lower cost, training large-scale models with unmatched predictive power, and using these models to discover, refine, and optimize high-impact applications in cell therapy. Our founding team includes repeat AI entrepreneur Dr. Micha Breakstone (Chorus.ai, acquired for $575M), the Head of the Fundamental AI Group at MIT (pioneered the foundational research on scaling laws), and three Harvard Medical School professors and National Academy of Sciences/Medicine members, including the Chair of the Genetics Department at HMS. Based in Boston and launching operations in January 2024, Somite has raised close to $60M to date (Forbes). Somite's Core Values: We show up - fully accountable, all-in, doing whatever it takes We act with urgency - swift, decisive, proactive We support one another - collaborative, helpful, empathetic Location: Boston, MA (onsite, full-time) About the Role: As a Senior Computational Biologist, you will play a key role in creating pipelines, models and performing research over large scale single cell datasets. This role is ideal for someone who is passionate about large-scale transcriptomic data that will be used to create groundbreaking cell replacement technologies. You will work at the intersection of developmental biological research, data science, and software development, contributing to single-cell and spatial transcriptomics analysis, translating scientific discoveries into cutting edge cell replacement therapies. Responsibilities: Drive new research directions at the interface of bioinformatics and AI-powered stem cell biology Develop and optimize computational biology pipelines for preprocessing, analysis, modeling and interpretation of high-dimensional transcriptomic data Stay at the forefront of computational biology, keeping up with state-of-the-art techniques in developmental biology, single-cell multi-modal analysis and spatial transcriptomics Operate autonomously in a fast-moving startup, helping shape Somite's computational biology roadmap Mentor and provide technical guidance to team members, fostering collaboration and knowledge sharing across disciplines Collaborate closely with other computational biologists, machine learning researchers, and software engineers to build robust, scalable solutions Qualifications: PhD in Computational Biology, Bioinformatics, Computer Science, or a related field 3+ years of experience analyzing large-scale genomic and transcriptomic datasets, such as single cell RNA-seq and spatial omics Solid computational and statistical skills, with demonstrated experience in high-dimensional biological data analysis Strong programming skills and experience developing robust products, preferably in Python Passion for data-driven biology and its potential to transform healthcare Preferred Qualifications: Strong domain knowledge in developmental biology or stem cell research (highly advantageous) 2+ years of experience in non-academic industry setting Prior experience in a startup or fast-paced environment Experience in machine learning, and and developing models over biological data Strong publication record in top journals Benefits: Take a technical leadership role with a mission-driven company with the potential to significantly impact the lives of millions Work alongside a talented and passionate team at the forefront of AI and cellular biology Contribute to the development of groundbreaking therapies that address significant unmet medical needs Enjoy a competitive salary and benefits package, including flexible work options Exceptional candidates who demonstrate outstanding capabilities and potential will be considered, even if they do not meet every qualification listed. Join us and help unlock the full potential of AI for the benefit of human health! Somite is committed to equal employment opportunity and non-discrimination for all employees and applicants regardless of race, color, ancestry, sex, sexual orientation, age, religion, national origin, ancestry, genetic information, disability, veteran status, marital status, citizenship status, or any characteristic protected under applicable law.

The University of Connecticut Proteomics and Metabolomics Facility (UConn PMF, ***************************** is hiring a Facilities Scientist 2 to assist the Facility Director with quantitative proteomics analysis using advanced mass spectrometry instrumentation and leading bioinformatics software. The PMF opened in 2017 as the University of Connecticut's first proteomics-focused and full service mass spectrometry core facility, and is housed administratively within the Center for Open Research Resources and Equipment (************************ UConn PMF in Storrs has outstanding instrumentation (2 Waters TOFs, 2 Thermo Scientific Orbitraps, and a Bruker tims TOF HT) and is expanding its footprint to the UConn Health medical research campus (Farmington, CT) in Summer 2025 with a brand new Bruker tims TOF Ultra 2 mass spectrometer. UConn PMF exists to provide fully customized analysis to more than 200 faculty across multiple UConn campuses and at other regional academic and industry research institutions. This position will be a full-time appointment and will provide a unique opportunity to work in a rapidly growing and highly productive core facility at a large research university currently ranked in the top 25 of all public universities in the U.S. MINIMUM QUALIFICATIONS * Master's degree in chemistry, biochemistry, analytical chemistry, or related field with at least 3 years of experience, OR Ph.D. degree in a similarly relevant field, with demonstrated experience implementing high resolution mass spectrometry for the analysis of proteins and peptides, and familiarity with operation, maintaining, and troubleshooting high resolution mass spectrometer and nanoflow ultra-high performance liquid chromatography systems. * Publication history that demonstrates successful application of state-of-the-art mass spectrometry for label-free and/or label-based (e.g. Tandem Mass Tags, iTRAQ, SILAC) quantitative proteomics. * Demonstrated experience using common proteomics software platforms for peptide/protein identification and quantification such as Spectronaut, MaxQuant/Andromeda, Proteome Discoverer, Byonic, and/or Scaffold Q+S. * Demonstrated mastery of sample preparation techniques for downstream proteomics analysis such as in-gel/in-solution digestions, co-immunoprecipitations, and processing of whole cell lysates or tissue homogenates for bottom-up proteomics. * Demonstrated clear and effective communication skills while communicating with researchers of varied scientific backgrounds, specifically regarding analytical techniques and informatics methods. * Experience working in a highly collaborative environment that emphasizes comprehensive analysis and one-on-one consultations with researchers. PREFERRED QUALIFICATIONS * Experience with extensive collaborative projects or experience in a core facility setting. * Experience using Bruker tims TOF instrumentation for low input proteomic analysis utilizing DDA-PASEF and DIA-PASEF acquisition methods. * Experience with untargeted metabolomics workflows, including sample preparation and analysis using TOF instrumentation and small molecule identification using Progenesis QI, XCMS, and/or other programs. APPOINTMENT TERMS This is a full-time, 12-month, non-tenure-track position with an anticipated start date in September 2025. Salary will be commensurate with qualifications and experience. Other rights, terms, and conditions of employment are contained in the collective bargaining agreement between the University of Connecticut and the American Association of University Professors UConn Chapter (AAUP). The University offers a competitive salary, and outstanding benefits, including employee and dependent tuition waivers at UConn, and a highly desirable work environment. For additional information regarding benefits, please visit hr.uconn.edu and explore the sections under the Benefits & Leaves and Engagement & Learning headers. TERMS AND CONDITIONS OF EMPLOYMENT Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check. TO APPLY Please apply online at ************************** Faculty and Staff Positions, Search #499108 and submit the following application materials: resume, cover letter, and contact information for three (3) professional references. Questions regarding this search should be addressed to Dr. Jeremy Balsbaugh, Director of COR²E and PMF (**************************). This job posting is scheduled to be removed at 11:55 p.m. Eastern time on December 17, 2025. All employees are subject to adherence to the State Code of Ethics which may be found at ****************************************** All members of the University of Connecticut are expected to exhibit appreciation of, and contribute to, an inclusive, respectful, and diverse environment for the University community. The University of Connecticut aspires to create a community built on collaboration and belonging and has actively sought to create an inclusive culture within the workforce. The success of the University is dependent on the willingness of our diverse employee and student populations to share their rich perspectives and backgrounds in a respectful manner. This makes it essential for each member of our community to feel secure and welcomed and to thoroughly understand and believe that their ideas are respected by all. We strongly respect each individual employee's unique experiences and perspectives and encourage all members of the community to do the same. All applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The University of Connecticut is an AA/EEO Employer.

🌍 Machine Learning Scientist | Applied ML / Deep Science | NYC A leading science-driven venture group is building a high-impact applied ML team - and they're looking for a Machine Learning Scientist to join them. This is the kind of environment where new scientific platforms are born, supported by serious domain expertise across biology, chemistry, materials and more. About the role You'll design cutting-edge LLM workflows, build custom evaluation frameworks, and turn early prototypes into scalable systems that shape how scientific discovery happens. 💡 What you'll work on Create and test LLM reasoning, planning and tool-use workflows Build and benchmark models with rigorous, domain-aware evaluations Scale prototypes and integrate production-ready feedback loops with scientists and engineers 🚀 What they value Curiosity and depth in applied ML Strong experimentation habits and clear thinking around evals Ability to work closely with multidisciplinary teams in a high-ambition environment If this sounds interesting, drop me a message and we'll arrange a chat.

Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. The purpose of this position is to develop new scientific knowledge, technologies and engineering solutions to problems in material flammability, fire dynamics and Lithium-ion battery safety research, which can be used for the prevention or control of industrial property loss. The principal responsibilities are to carry out research projects in the areas of flammability, fire spread, and heat transfer in fires from solid combustible as well as Lithium-ion batteries. Key areas of research include understanding of fire behavior at the medium and large scales via bench-scale experiments and theoretical models on material flammability and flame heat transfer. Projects can also involve advanced flame diagnostic of buoyant turbulent sooty flames and wall fires. The experimental and theoretical studies will be closely integrated with Computational Fluid Dynamic (CFD) model development and validation within the work group. The position is responsible for all aspects of project management including project proposals, execution, and reporting. The position requires a PhD in Mechanical, Chemical Engineering, Fire Protection Engineering, or related fields with a strong fundamental background in combustion, fluid mechanics, heat transfer, material science and applied mathematics. Extensive experience in experimental methods in thermal fluids, material flammability, heat transfer, combustion/fire, and an understanding of associated numerical methods are required. Research experience with advanced laser diagnostics in flame, experimental measurement in turbulent flame, heat transfer and failure analysis of battery is desirable. Also needed are excellent written and verbal communication skills, as well as demonstrated expertise in developing solutions to challenging technical problems. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, time off allowances and much more. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce. #FMG #LI-TA1

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. The Diabetes, Obesity and Complications Therapeutic Area (DOCTA) of Eli Lilly and Company focuses on new therapeutic approaches for the treatment of diabetes, obesity and cardiometabolic diseases. Starting from an idea, we work with partners across Lilly to discover and develop novel biologic, small molecule and nucleic acid-based therapeutics. Our focus is the patient: by understanding the biology and pathophysiology underlying disease states, we aim to address the root cause of disease, and develop breakthrough therapies. We have one of the strongest pipelines in the industry and a track record of delivering impactful medicines that improve people's lives. Are you a computational scientist passionate about addressing some of the most pressing global health challenges of our time? Do you stay current with the latest advances in metabolic disease research and obesity pathophysiology? Are you eager to apply pioneering computational and statistical approaches to analyze multi-omics data and unravel the complex biology of obesity, adipose tissue function and metabolic dysregulation? The computational biology role within DOCTA is an exciting opportunity for a team-oriented scientist with deep expertise in obesity biology and computation methods to drive therapeutic discovery in metabolic diseases. In this hands-on role, you will work cross-functionally with researchers across DOCTA to design and implement multi-omic studies specifically focused on obesity pathophysiology, energy regulation, adipose tissue biology, metabolic pathway dysregulation and CNS pathways concerning obesity. You will collaborate closely with experimental project leads and scientific domain experts to drive scientific discovery through the comprehensive analysis of single-cell genomics data from preclinical models and human studies. In this role, you will not only apply established computational methods to understand obesity pathophysiology and identify novel therapeutic targets in metabolic pathways, but also pioneer the application of innovative AI/ML approaches to extract deeper biological insights from complex multi-modal datasets. The successful candidate will have the opportunity to directly impact the DOCTA pipeline, ultimately driving the scientific field forward and bringing innovative therapies to patients. Key Responsibilities: Design and complete studies using omics-related data sources, including RNA-seq, spatial transcriptomics, single-cell omics, proteomics, functional genomics, metabolomics, and more. Integrate standard analytical approaches as well as emerging AI/ML models to answer scientific questions of high-dimensional data Partner with discovery statistics team to create novel analytical frameworks for high-throughput studies and develop specialized methodologies to enhance insights from small-sample datasets. Stay up-to-date on current technical and scientific advances through deep understanding of the literature and attendance of relevant technical and disease-related conferences Clearly communicate complex results to cross-functional partners in a prompt and transparent manner Perform ad-hoc bioinformatics analyses and data visualizations as needed Work collaboratively with other Data Sciences and Computational Biology (DSCB) scientists to develop innovative, best in class computational workflows and data repositories for advanced analyses Engage in code and documentation review within the team and across other teams within the DSCB team Adhere to industry-standard protocols for scientific project documentation Basic Requirements: PhD or equivalent in Computational Biology, Bioinformatics, Biomedical Informatics, or related field with 2+ years of experience post-PhD in relevant disease area. Additional Skills/Preferences: Strong track record of execution of computational biology and/or bioinformatics-based projects, potentially including RNA-seq, metabolomics, multi-omics, human genetics, proteomics, AI/ML, and other related research modalities required Prior experience and deep expertise in obesity and related areas, preferably with data from preclinical models, patient cohorts or cell lines preferred Expertise in programming languages including R and Python and experience with workflow management systems such as Nextflow required Experience developing production-grade bioinformatics pipelines, including working with standardized workflow tools preferred Experience with implementation and maintenance of industry-standard documentation practices including Git, Confluence, JIRA, or equivalent preferred Ability to prioritize and manage multiple competing priorities within a fast-paced environment required The ability to communicate complex scientific and computational concepts to non-computational and non-scientist audiences required Ability to represent the DOCTA DSCB team internally and externally required Strongly team-oriented thinking mentality required Prior industry experience preferred Experience with scalable cloud computing platforms (e.g. Databricks, AWS) and big data analytics frameworks preferred Experience with containerized technologies (e.g. Docker) for computational reproducibility preferred Knowledge of human genetics preferred 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 $138,000 - $224,400 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

Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost. Job Description • Screening support to produce ADME in vitro data in support of driving discovery efforts within Company's WRD. • The position includes performing biological assays using automation technologies to generate ADME endpoint data. • Additionally, bio analytical analysis of this data will be a key aspect of the role. The position is in a highly matrixed group and teamwork is essential. • E ssential Duties and Responsibilities: ADME Assays: Perform biological incubations with test compounds in plate formats with ADME-specific reagents and liquid handling equipment. • Takes raw analytical results and determines ADME endpoint data using IT systems. • Other Duties: Cell culturing, reagent bank support (inventory, and fulfilling orders), lab infrastructure maintenance. Qualifications Minimum Background and Experience: • Educational background: Bachelor degree or equivalent in biology, chemistry, biochemistry, or related disciplines; • Excellent oral and written communication skills required. • Computer skills required: Microsoft Word, Excel, Outlook. • E xperience with automated liquid handling systems a plus, but not required. • Experience in an industrial lab where data is produced on a recurring basis is a plus, but not required. Additional Information For more information, please contact, Sneha Shrivastava **********

Dana-Farber Cancer Institute (DFCI) is seeking a highly motivated Pre-Clinical Scientist to support the research activities at the Experimental Therapeutics (ETx) Core and the Lurie Family Imaging Center (LFIC). The ETx Core and LFIC are co-located in a state-of-the-art 14,000 square-foot preclinical facility, fully equipped with housing and procedure rooms, as well as a suite of in vivo imaging scanners. The Pre-Clinical Scientist will integrate with a highly skilled team of Scientists and Research Associates, and report directly to the Director. The in vivo studies conducted at the facility are focused on cancer research, with an emphasis on in vivo pharmacology, the assessment of novel cancer therapeutics, and multimodality imaging of cancer, and provide key information for the improvement of cancer patient treatment and care. The position is at 27 Dry Dock Ave, South Boston ****************************** Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. Responsibilities The successful candidate will work collaboratively and in concert with a staff of dedicated scientists, animal/imaging technologists/associates, administrative personnel, and clinical counterparts to design and execute oncology related mouse studies using various imaging modalities (BLI/MRI/SPECT/PET/CT, etc) as well as the entire spectrum of conventional (e.g., caliper measurements, clinical scoring) endpoints to evaluate pre-clinical novel cancer therapies. The Pre-Clinical Scientist will work closely with the Director to execute the vision and strategic direction of translational cancer research. The Pre-Clinical Scientist will partner with clinical affiliates to facilitate bidirectional translational cancer science. The Pre-Clinical Scientist will work closely with other Centers and Departments at Dana-Farber that are engaged in research on small animal modeling in cancer and in experimental therapeutics. The Scientist will be expected to develop research projects for presentation at national meetings and publication in peer-reviewed journals. The Pre-Clinical Scientist will build collaborations with principal investigators, other departments, and industrial partners to design experimental therapeutics studies, and will be responsible for the execution, analysis and generation of reports for studies. Skills and Abilities Required * Hands-on experience using various cell line and PDX mouse/rat models and orthotopic models to execute in vivo workflows is highly desired. * Familiar with IVIS, PET/CT, MRI and other imaging approaches. * Demonstrated ability to deploy novel in vivo models to enable drug discovery and translational research. * Excellent interpersonal and communication skills with the ability to interact effectively with internal and external collaborators. * Demonstrated expertise in various in vitro methodologies such as immune profiling by flow cytometry, ELISA and Western blot analysis. * Ability to establish independent research and secure external funding * Full-time, M-F; hours may vary with project needs Dana-Farber Cancer Institute supports a robust Scientist career track with multiple opportunities for advancement, leadership, and recognition. The successful candidate will be appointed to a level within the Scientist career track commensurate with his or her accomplishments and abilities. Promotion on this track will be based on achievement of goals. Qualifications * PhD cancer biology, biology or relevant biological sciences * Minimum of 5 years' experience in pre-clinical pharmacology pre- or post-PhD * Established track record of research publications, preferably in cancer research * Builds productive internal/external working relationships. * Having wide-ranging experience, uses technical concepts and Institute objectives to resolve complex issues in creative and effective ways. * Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. * Exercises judgment in selecting methods, techniques and evaluation criteria for obtaining results. * Networks with key contacts outside our own area of expertise. Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA) $80,000 - $82,900 At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. EEOC Poster

The **Center for Cancer Genomics** **(CCG)** at Dana-Farber Cancer Institute facilitates genomic discoveries in cancer using novel technology platforms to assist researchers in both genome-wide and gene-focused efforts. Technologies are selected and developed with a view to research-oriented ventures, as well as translational medicine and clinical relevance. Our clinical and research environments currently use state-of-the-art massively parallel sequencing assays of DNA and RNA from patient tumor samples. Data from these environments are used to advance research on both adult and pediatric cancers, improve our understanding of cancer biology, and advance the field of precision cancer medicine. This opportunity offers the chance to work at the forefront of translational cancer technologies and applications, in an informatics group that enables analyses in both arenas. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. The **Bioinformatician II** will report to CCG's Lead Informaticist and have the main responsibility of independently performing data analysis on a wide array of cancer multiomics projects ( _sc/sn RNAseq, sc ATACseq, Crispr screens, SNV/CNV, longread Oxford Nanopore Direct RNA sequencing,_ etc.) in consultation and collaboration with internal Dana-Farber research collaborators and external research partners. Some limited orchestration of automated pipelines may be required as necessary. The Bioinformatician II will have no direct reports. Dana-Farber has a wealth of local, on-premises, and cloud-based computing resources available to extensively explore the large body of data generated annually by Dana-Farber researchers and collaborators. Given these resources, the development of novel computational methods is strongly encouraged. **MINIMUM JOB QUALIFICATIONS:** Minimum Education: Bachelor's degree required in a STEM field. Master's degree or PhD strongly preferred in bioinformatics, medical informatics, computational biology, statistics, computer science/engineering, or a related quantitative field. Minimum Education: 3 Years of experience required; Master's degree with 1 year experience required; PhD with 0 years. + Experience with bioinformatics tools and databases for sequence alignment/analysis; germline and somatic variant calling; bulk and single-cell/nuclei RNAseq; long read sequencing (Oxford Nanopore). + Proficiency in programming languages commonly used in bioinformatics and data analysis, such as Python, R, and Perl. Experience with workflow languages such as WDL or Nextflow is a plus. + Excellent communication skills and ability to work collaboratively in multi-disciplinary team. **Pay Transparency Statement** The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA) $83,800 - $90,800 At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. **EEOC Poster**