Principal research scientist jobs in Providence, RI

QUALIFICATIONS: • Bachelor's Degree within subject matter expertise required. • 18+ years' relevant experience required, or a master's degree with 12+ years' relevant experience, or a Doctoral degree with 6+ years' post-doctoral and/or industry-relevant experience can be considered. • Relevant required experience includes: Excellent understanding of ADME principles with knowledge of PK/PD modeling or biotransformation, highly desirable • Preferred experience includes: Prior experience working in a fully or hybrid ADME-outsourced models • Demonstrates excellent verbal and written communication skills. TOP SKILLS PER MGR: 1. Project-facing role (3+ years) 2. ADME or PKPD subject matter expert ESSENTIAL FUNCTIONS: • Function as DMPK project representative for global, cross-functional small molecule project teams to achieve project goals • Provide expert-level guidance to experimental plans and data interpretation with a strong expertise in either ADME/PK/DDI or PK/PD modeling and simulation • Troubleshoot highly complex tasks through independent and team-based efforts • Demonstrate deep subject matter expertise and in-depth experience, as well as creative, independent thinking and solutions for addressing critical scientific questions • Make independent decisions related to day-to-day experimental activities • Work closely with CROs to assume responsibility for DMPK experimental design, implementation, and interpretation • Analyze complex data with a high degree of sophistication, connect disparate datasets to reach conclusions, and communicate project updates and experimental results to relevant stakeholders • Ensure proper documentation of all experiments and data • Collaborative teamwork • Communicate regularly with international colleagues within the Client • Actively participate in cross-functional teams and meetings to drive project success • Achieve business goals, share learnings, knowledge, and skills & promote cross-functional teamwork • Share knowledge & expertise to expand team capabilities and goals • Demonstrate superior cross-cultural understanding to effectively interact with relevant stakeholders in the global organization • Write and review collaborative research manuscripts, project documents, and milestone documents • Complete assignments requiring expert-level knowledge of techniques and practices related to the research area • Represent the organization as NN-subject matter expert by attending and presenting at scientific conferences and global meetings

Machine Learning Scientist - LLM Systems for Scientific Discovery About the Team Join the internal AI initiative of a prominent venture studio that has launched 100+ life sciences companies (including Moderna). You'll be part of a ~20-person technical team in Cambridge building advanced LLM and ML systems that accelerate scientific breakthroughs and help launch new AI-first ventures. What Will I Be Doing: Research & prototype novel LLM workflows (agents, reasoning systems, tool-use frameworks) tailored to scientific applications Define success metrics and design custom benchmarks to evaluate AI systems across diverse scientific domains Collaborate with ML engineers to scale promising prototypes into production systems Stay at the frontier by synthesizing state-of-the-art research and validating findings through rigorous experimentation Build feedback loops that incorporate user testing into system development What We're Looking For: PhD in machine learning, computer science, statistics, physics, mathematics, or related quantitative field Research excellence in LLMs or adjacent areas (reasoning/agents, sequence modeling, representation learning, optimization) demonstrated through publications at top venues or impactful work Hands-on ML experience with PyTorch or JAX, including reproducible experiment workflows Strong Python skills and fluency with standard ML tools Ability to work independently while collaborating effectively in a small team Experience building LLM systems: agentic frameworks, RAG, multi-agent simulations, RLHF/DPO, or evaluation methodologies Domain knowledge in chemistry, biology, physics, materials science, or related fields What's in it for me: Competitive Compensation: $140k-$240k dependent on experience Work on originating and fostering breakthrough ventures transforming human health and sustainability Relocation assistance available (typically $10k sign-on bonus) Apply now for immediate consideration!

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

Education: Ph.D. or Pharm D in Pharmaceutical Sciences, Pharmacometrics, or related field with 3+ years or 4+ years of experience in pharmaceutical industry. Demonstrated experience in serving as clinical pharmacology lead on development programs. PK Experience: The incumbent should have a strong understanding of pharmacokinetic theory, compartmental modeling and simulation, and statistical approaches utilizing the latest computational approaches and tools. Knowledge: Sound working knowledge of the cross-function interfaces that are important for efficient drug development, and a detailed understanding of non-clinical and clinical DMPK processes. Programming experience (Phoenix) is must; other programming experience (e.g., , Monolix, R, WinNonlin, SAS, Splus) is desirable. Regulatory: Current knowledge of FDA regulatory guidance related to nonclinical and clinical pharmacology; experience having direct interaction with FDA, including submission of IND, NDA and other regulatory documents is required. Writing: Experience in non-compartment and model-based PK and PK/PD analyses and inclusion of data in the preparation of manuscripts, study reports and sections of regulatory submission documents (e.g.: INDs, NDAs, CTDs) is required.

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.

What if… you could join an organization that creates, resources, and builds life sciences companies that invent breakthrough technologies in order to transform health care and sustainability? Expedition Medicines Inc., is a privately held, early-stage biotechnology company pioneering the emerging field of Protein Editing. At Expedition Medicines we create small molecules that edit protein structure and function to unlock presently undruggable targets and a broad array of therapeutic modalities. Our platform integrates novel small molecule chemistry and chemoproteomic discovery technologies with Machine Learning (ML) to enable generative design. Expedition Medicines is backed by Flagship Pioneering, bringing their courage, vision, and resources to guide Expedition Medicines from platform validation to patient impact. We are seeking collaborative, relentless problem solvers that share our passion for impact to join us! THE ROLE The Formulation team is seeking a highly motivated, attentive and self-driven candidate to join our team and contribute to the development of discovery compounds as an Senior Research Associate/Associate Scientist. This successful candidate will join an energizing and collaborative research environment working as part of cross function drug discovery teams in providing a develop-ability assessment of innovative molecules. KEY RESPONSIBILITIES Execute stage appropriate, fit-for-purpose preclinical formulations preparation (Solutions, suspensions, emulsions, nanoparticles, SEDDS etc.) for oral, and parenteral formulations on a small scale for small molecules Author protocols describing preparation of formulations for use at internal and external formulation labs Basic drug substance characterization by using techniques such as HPLC/UPLC, XRPD, DSC and PLM. Assessment of the chemical and physical properties of small molecules, such as solubility, dissolution, particle size and chemical stability Routine lab support such as buffer and mobile phase preparation, pH meter calibration, basic troubleshooting of lab equipment, and coordinating with external instrument and service vendors. Shipping and receiving samples between internal and external sites Summarize experimental results and presents at team meetings and department presentations Author templated memos and reports with limited guidance Maintain detailed lab notebooks and reports in compliance with GLP/GMP guidelines (as applicable) Evaluate novel drug delivery systems (e.g., lipid-based, amorphous solid dispersions, spray dry etc.) for poorly soluble compounds Support transition of formulations from discovery to clinical development (e.g., bridging studies) Independently design and perform focused experiments that drive progress in cross-functional formulation initiatives PROFESSIONAL EXPERIENCE & QUALIFICATIONS B.S. or M.S. in Chemistry, Biochemistry, Chemical Engineering, or a related discipline is required Three years minimum of industry, government or equivalent experience in small molecules formulation or a related field Hands-on experience with one or more of the following techniques: HPLC, UV-visible, DSC etc Experience with data analysis using standard software platforms (Excel, Prism etc.) Practical experience in developing and preparing preclinical formulations (small molecules) Basic knowledge of physicochemical properties and their relationship to formulation development Basic knowledge of pharmacokinetics (PK) and biopharmaceutics principles The ability to manage multiple parallel activities and deliver results to agreed timelines Ability to do bench work independently Strong collaboration, problem-solving, and adaptability in fast-paced research environments Excellent written, oral, and visual communication skills Excellent time management skills LOCATION: Cambridge, MA ABOUT FLAGSHIP PIONEERING Flagship Pioneering invents and builds platform companies, each with the potential for multiple products that transform human health, sustainability and beyond. Since its launch in 2000, Flagship has originated more than 100 companies. Many of these companies have addressed humanity's most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE's “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company's annual list of the World's Most Innovative Companies. Learn more about Flagship at *************************** At Flagship, we accept impossible missions to enable bigger leaps. Our core values guide us through uncertainty and toward lasting impact. We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. We recognize that great candidates often bring unique strengths without fulfilling every qualification. If you have some of the experience listed above but not all, please apply anyway. We are dedicated to building diverse and inclusive teams and look forward to learning more about your background and interest in Flagship. Recruitment & Staffing Agencies : Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto. #LI-MB1 The salary range for this role is $81,000 - $126,500. Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience. Expedition Medicines currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Expedition Medicine's good faith estimate as of the date of publication and may be modified in the future.

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.

. . . . . GROWTH OPPORTUNITY BIOPHYSICAL CHEMISTRY | BIOCHEMISTRY MISSION STATEMENT: Develop BioPhysical and Biochemical Assays for screening and characterizing small molecules. Do your skills include the following? Biophysical methods: SPR for determining small molecule affinity to protein targets Biochemical assays: develop, analyze and troubleshoot (e.g. FRET, FP, AlphaScreen/LISA, ADPGlo) Protein characterization techniques: size exclusion chromatography, dynamic light scattering, DSF, TSA If you are answering YES - - Reach out to learn more about this exciting new opportunity: Call: ************ or Schedule a time: ******************************** or Email: ************************* Visit our Company Website - ************************ Visit our Career Opportunities Page - *****************************

ABOUT US There are more than 9 million immunocompromised people in the United States. Almost half a million of those represent a population that are moderately to severely immunocompromised and at highest risk for severe COVID-19, including stem cell and solid organ transplant patients as well as those with hematologic cancers. At Invivyd, Inc., we take those numbers very seriously and we come to work each day on a mission to deliver protection from serious viral infectious diseases, beginning with SARS-CoV-2. Invivyd deploys a proprietary integrated technology platform unique in the industry designed to assess, monitor, develop, and adapt to create best in class antibodies. In March 2024, Invivyd received emergency use authorization (EUA) from the U.S. FDA for a monoclonal antibody (mAb) in its pipeline of innovative antibody candidates. In October 2025, the FDA cleared the company's Investigational New Drug (IND) application and provided feedback to advance the company's REVOLUTION clinical program, Invivyd's development program for VYD2311, a vaccine alternative monoclonal antibody being investigated for the prevention of COVID-19. Be part of making a difference. Be part of Invivyd. Location: Newton, MA Invivyd's lab is in Newton, MA. This role will be an in-person role. Position Summary: In this role you will design, develop and execute functional assays for a cutting-edge antibody discovery platform. This involves applying a breadth of techniques in the virology, molecular biology, cell biology, and immunology spaces to advance innovative biotherapeutic products through discovery and pre-clinical development stages at Invivyd. This is a unique opportunity to join Invivyd's Antibody Discovery and Preclinical Development Team which generates and characterizes human therapeutic antibody candidates against infectious disease targets like SARS-CoV-2, influenza, and RSV. The Assay Development Senior Research Associate will serve as a key member of the discovery team, provide expert input, and execute new and established methods to meet project requirements and timelines. Responsibilities: * Development and independent troubleshooting of virus-based antibody screening functional assays and optimization of existing assays. * Contribute to high-impact projects within the Discovery group by characterizing lead antibody molecules for pre-clinical studies. * Design and perform experiments involving in vitro screening and characterization of antibody drug candidates using immunological, biochemical, and cell-based assays. * Design and generate pseudoviruses for use in evaluation of antibody candidates. * Generate authentic viruses in a BSL-2 setting for use in evaluation of antibody candidates. * Perform molecular design and characterization of DNA constructs used for assay development. * Execute basic molecular biology (DNA/RNA extraction, RT-PCR, PCR, cloning, etc.) and Cell Biology (mammalian cell culture, gene transfection and expression) to support antibody discovery efforts. * Collaborate closely across an interdisciplinary biologics research team to drive antibody discovery campaigns. * Employ high-throughput molecular biology methods for building new vectors and libraries. * Maintain appropriate records e.g. lab notebook, protocols, reports, data integrity. * Present data, both orally and as written reports, to internal stakeholders. Requirements: * Master's degree or Bachelor's degree and 6+ years of bench Industry experience in virology, molecular biology, cell biology, or other life science disciplines. * High proficiency in mammalian cell culture is required. * Previous experience working with virus in a BSL-2 setting is required. * Previous experience designing and optimizing cell-based assays and functional antibody characterization is highly preferred. * Ability to interpret in-process readouts for the purposes of assay optimization and troubleshooting. * Mammalian cell transfection with an understanding of expression vector design is highly preferred. * Strong understanding of molecular biology and experience with DNA construct design and sequence analysis is highly preferred. * Proactive team player and flexibility to work on multiple projects as the discovery programs evolve over time. * Excellent verbal and written technical and non-technical communication skills. At Invivyd we strive to create a welcoming and inclusive environment. Here all applicants will receive equal consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other applicable legally protected characteristics. Invivyd is proud to be an equal opportunity employer. We do not accept unsolicited resumes from agencies.

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.

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.

Spear Bio, founded in 2021, is a well-funded and rapidly growing biotech start-up headquartered in Woburn, Massachusetts. Our proprietary technology, Successive Proximity Extension Amplification Reaction (SPEAR), is a novel wash-free immunoassay platform, offering unprecedented sensitivity. We are dedicated to revolutionizing early disease diagnosis and monitoring by providing scalable, ultrasensitive solutions that deliver unparalleled accuracy in measuring low-abundant biomarkers, enabling clinicians and researchers to improve patient outcomes and advance global health. Research Associate/Associate Scientist: We are seeking a highly motivated and experienced Research Associate/Associate Scientist to join our growing Assay Development team, with hands-on experience running ultrasensitive immunoassays and the desire to be at the forefront of innovative research. This individual will play a pivotal role in advancing Spear Bio's new range of ultrasensitive immunoassays and assay biomarker programs. This role is based onsite in our lab in Woburn, MA 5 days/wk. Responsibilities: Test and execute immunoassay workflows on high-throughput, semi-automated platforms Assist in optimizing methods for processing different types of biofluid samples (ie. serum, plasma) for assay development Set up, calibrate, and maintain laboratory equipment, as specified by the requirements of various projects Assist in data analysis Acquire necessary equipment and supplies for various projects Qualifications: Master's degree in Biology, Biochemistry, Biophysics, Biomedical Engineering or a related discipline plus 1-3 years of assay development experience in an industry or academic lab Direct experience running biofluid-based immunoassays and qPCR experimentation is required Experience with neurodegenerative disease protein biomarkers a plus (ie. pTau217, pTau181, NFL, GFAP, alpha-synuclein, etc.) Experience characterizing and troubleshooting immunoassays Strong proficiency in molecular biology lab techniques General Qualifications: Self-motivated and ability to perform complex tasks in an effective manner Ability to follow instructions and grow in a mentorship setting Excellent organizational and documentation skills Desire to learn and implement new technologies Strong presentation and interpersonal skills, ability to build collaborative working relationships, and become a key contributor within the assay development team Work 5 days/week on site in Woburn, MA. LOCAL CANDIDATES will be given priority consideration for this position. We offer competitive compensation, meaningful stock ownership, comprehensive benefits, and a great work environment. This is an opportunity to enter an innovative, high-growth startup at an early stage and play an integral role in the company's growth and success. We are focused on identifying candidates who have demonstrated leadership and excellence throughout their careers and are excited by the prospect of building an industry-leading company. Spear Bio Inc. provides equal opportunity in employment to all persons. No person shall be denied equal access because of race, creed, color, religion, national origin, sex, sexual orientation, gender identity, age, or physical/mental disability. Spear Bio does not accept resume submissions from external recruiting agencies. Any unsolicited resumes or candidate information submitted without prior written agreement will be deemed the property of Spear Bio, and no placement fees will be paid.

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

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: We seek a skilled Bioinformatician to lead the design and execution of analysis pipelines for large-scale transcriptomic datasets. You'll be responsible for preprocessing, quality control, and biological interpretation of sequencing data, contributing to the development of novel sequencing protocols and technologies in close collaboration with wet lab scientists, computational biologists and machine learning researchers to support Somite's therapeutic programs. This is a hands-on, data-centric role ideal for someone who thrives in a fast-paced, interdisciplinary environment and wants to help build transformative cell therapy technologies from the ground up. Responsibilities: Build, maintain, and run robust, reproducible pipelines for single-cell and bulk RNA-seq data (QC, alignment, quantification, normalization, clustering, annotation, etc.). Apply standard and advanced analyses using tools like Scanpy, Seurat, and R/Bioconductor packages. Process and interpret data from state-of-the-art single-cell transcriptomic and multiomic platforms, alongside new in-house protocols being developed to enable innovative microbiological sequencing workflows. Collaborate with wet lab scientists to support experimental design and data interpretation. Mentor and foster collaboration and knowledge sharing across disciplines. Help design and validate cutting-edge protocols for novel transcriptomic technologies, integrating new experimental modalities with bioinformatics pipeline. Qualifications: PhD in Bioinformatics, Genomics, Computational Biology, or a related field. Equivalent industry experience is also welcome 3+ years of hands-on experience analyzing large-scale single-cell or bulk transcriptomic datasets Proficiency with common genomics tools: SAMtools, STAR/STARsolo, Bowtie, Tophat, HTSeq, Clustal, bash scripting, etc. Strong command of Scanpy or Seurat Demonstrated fluency in Nextflow/Snakemake and workflow reproducibility principles. Strong R and/or Python programming skills Excellent organizational and documentation habits Preferred Qualifications: Experience working in a quantitative lab or with biotech/pharma pipelines Experience working in a fast-paced startup or interdisciplinary team The opportunity to contribute to platform technologies with real-world therapeutic impact Experience working at the interface of technology development and data analysis, particularly involving novel molecular biology or sequencing techniques What We Offer A mission-driven team reshaping healthcare through innovation in AI and cellular engineering. The opportunity to contribute to platform technologies with real-world therapeutic impact. Competitive compensation and equity in a high-growth company. Flexible work arrangements, generous benefits, and a collaborative environment. 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!

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**

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.

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

What if... We could harness the power of Flagship's scientific platforms and create novel treatment options that benefit more patients, sooner? Pioneering Medicines, a division of Flagship Pioneering, is building a world-class biopharmaceutical R&D capability focused on conceiving and developing life-changing treatments for patients by harnessing the power of Flagship's scientific platforms and applying those innovative approaches to serious diseases with unmet medical need. Unique to Pioneering Medicines' approach is the opportunity to combine platforms to create truly novel and potentially transformative treatments. About Flagship Pioneering: Flagship Pioneering conceives, creates, resources, and develops first-in-category life science platform companies to transform human health and sustainability. Since its founding in 2000, the firm has originated and fostered the development of more than 100 scientific ventures, resulting in over $34 billion in aggregate value, 500+ issued patents, and more than 50 clinical trials for novel therapeutic agents. Position Summary: We are seeking a highly capable bioinformatics expert, with experience in applying computational methods to biological data, to join our Translational Sciences team. The successful candidate will step into active therapeutic programs and operate with a high degree of independence, helping drive bioinformatics strategy from early discovery through translational development. This role is well-suited for individuals who combine scientific depth with strong computational acumen and thrive in dynamic, cross-functional environments. The position offers room for growth, with flexibility to consider more senior candidates who demonstrate the ability to lead program-level bioinformatics strategy and cross-functional integration. Key Responsibilities: Lead computational biology efforts within active therapeutic programs, working across disease areas such as oncology, immunology, metabolic, or rare diseases. Analyze and integrate omics data types (e.g., bulk/single-cell RNA-seq, proteomics, spatial transcriptomics, genomic variation) to inform target discovery, biomarker development, and patient segmentation. Translate biological questions into analytical strategies, influence experimental design, and generate actionable insights for interdisciplinary teams. Coach other team members on strategic thinking and next level synthesis and communication skills. Apply machine learning and AI approaches to uncover novel insights, including dimensionality reduction, clustering, classification, predictive modeling, and network-based inference. Stay current with relevant computational trends (e.g., multi-modal learning, foundation models, causal inference) and propose their application to Pioneering Medicines programs. Communicate findings effectively to both technical and non-technical stakeholders, contributing to program direction and decision-making. Serve as a computational thought partner to scientific leadership across programs. Required Qualifications: Ph.D. in Bioinformatics, Computational Biology, Biological Sciences, Computer Science, or related field. 3-6 years of relevant industry experience, ideally with direct exposure to therapeutic discovery programs. Understanding of biology and/or translational research and ability to address biological questions using computational approaches. Strong experience analyzing next-generation sequencing data (e.g., bulk/single-cell RNA-seq, WGS/WES, ATAC-seq). Proficiency in Python and/or R, and experience with cloud-based computing (AWS, Terra, Code Ocean). Demonstrated application of AI/ML to biological datasets, including algorithm development or use of libraries like scikit-learn, XGBoost, Pinnacle. Familiarity with biological interpretation of omics data, pathway analysis, and network inference. Ability to work independently, manage priorities across programs, and influence program strategy. Excellent communication and collaboration skills; experience working in matrixed teams. Preferred: Exposure to translational science, patient stratification, or biomarker discovery in preclinical or clinical contexts. Experience integrating heterogeneous omics data. Knowledge of experimental design and data QC best practices. Prior experience in biotech or pharma. Flagship Pioneering and our ecosystem companies are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Recruitment & Staffing Agencies : Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto. #LI-TD1 The salary range for this role is $163,000 - $214,500. Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience. Pioneering Medicines currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Pioneering Medicines's good faith estimate as of the date of publication and may be modified in the future.