Lila is a technology company pioneering the application of artificial intelligence to transform every aspect of the scientific method.

Industry: Research Services
Company Size: 51-200 employees

Lila Sciences

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**Your Impact at LILA**

As a Senior Research Associate / Scientist on the Platform Science team within Lila's Autonomous Science Platform, your work will directly contribute to building Lila's next-generation, AI-driven research capabilities. You will have the opportunity to pioneer novel automated instruments centered around advanced processing and characterization of solid state materials — at the critical intersection of hardware, software, and scientific inquiry.

This role is a unique blend of hands-on engineering and scientific investigation, where you will prototype, automate, and validate the platforms that will define the lab of the future. You will operate across a broad set of disciplines, working closely with the vacuum synthesis, platform science, and characterization teams to build tools that dramatically accelerate the pace of scientific discovery and support active research campaigns across multiple initiatives.

**What You'll Be Building**

- Design, construct, and integrate novel automated experimental platforms with a material emphasis on solid state synthesis and novel processing methods, working in close collaboration with the vacuum synthesis, platform, and characterization teams to align on system requirements and share technical knowledge.

- Work hands-on to integrate hardware components, including optics, robotics, and sensors, into a cohesive, automated workflow.

- Develop end-to-end software stacks from instrument control to data stewardship and integration with downstream models.

- Analyze instrument data to validate system performance, troubleshoot issues, and support research initiatives designed to establish and expand the capabilities of new platforms.

- Collect, document, and interpret experimental data across active research campaigns, ensuring data quality and traceability in support of platform and scientific objectives.

**What You'll Need To Succeed**

- Masters or Bachelors in Physics, Engineering, Chemistry, Materials Science, or a related field, or Bachelors with equivalent industry experience.

- Hands-on experience building automated instrumentation, including both hardware integration and software control.

- Proficiency in a programming language used for instrument control and data analysis (Python, C#).

- Strong foundational knowledge in engineering principles, including optics, electronics, and/or mechanical design.

**Bonus Points For**

- Experience with the operation and safety protocols of Class 4 laser systems.

- Familiarity with vacuum-based synthesis techniques such as physical vapor deposition, sputtering, or pulsed laser deposition.

- Experience with solid state materials characterization methods (e.g., XRD, SEM, optical microscopy).

- An inventive, problem-solving mindset with a passion for building new things and tackling open-ended challenges.

- A safety-focused approach with strong communication and teamwork skills across multidisciplinary environments.

CompensationWe offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.

Expected Base Salary Range: $80,000 USD - $118,000 USD

**About LILA**

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.

LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.

Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.

**We’re All In**

Lila Sciences is 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.

Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.

**A Note to Agencies**

~~Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto. ~~

Senior Research Associate/Associate Scientist, Platform Scientist

We are Sanofi, an innovative global healthcare company. We chase the miracles of science to improve people’s lives. 

Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.

Interactions with this account must comply with the Terms: https://bit.ly/sanofi-terms

Industry: Fabrication de produits pharmaceutiques
Company Size: + de 10 000 employés

Sanofi

**Job title **:~~AI-Enabled iPSC Disease Modeling & Functional Genomics~~

- Location: Cambridge, MA

**About The Job**

Sanofi is building a next-generation neuroscience research engine focused on defining the molecular mechanisms of neurodegenerative disease — Alzheimer’s disease, ALS, frontotemporal dementia, Parkinson’s disease, and multiple sclerosis — through high-resolution interrogation of human models and tissue. We are seeking a Senior Research Associate II to develop and deploy human iPSC-derived cellular models and CRISPR-based functional genomics to interrogate TDP-43 biology and other priority pathways, and to deliver fit-for-purpose assays that drive internal discovery programs.

This role sits at the experimental engine of the group. The successful candidate will design, generate, and characterize isogenic iPSC lines and iPSC-derived glial and neuronal cultures; build robust phenotypic assays suitable for hit-finding and target validation; and contribute to pooled and arrayed CRISPR screens that uncover genetic modifiers of disease-relevant phenotypes. The role partners closely with computational biologists, neuropathologists, and program teams to translate human cellular insights into actionable drug discovery hypotheses.

Join the engine of Sanofi’s mission — where deep immunoscience meets bold, AI-powered research. In R&D, you’ll drive breakthroughs that could turn the impossible into possible for millions.

**About Sanofi**

We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.

**Main Responsibilities**

- Maintain, expand, and quality-control human iPSC lines; generate and validate isogenic disease-relevant lines using CRISPR/Cas9, base editing, and prime editing (knock-in, knock-out, and tagged reporter alleles).

- Differentiate iPSCs into disease-relevant CNS cell types — including microglia, astrocytes, oligodendrocyte-lineage cells, and motor and cortical neurons — using established and emerging protocols; develop and optimize co-culture and tri-culture systems as needed.

- Build and validate fit-for-purpose cellular assays to interrogate TDP-43 biology and other priority mechanisms, including cryptic exon readouts (e.g., STMN2, UNC13A, HDGFL2), TDP-43 mislocalization and aggregation, cellular stress responses, and disease-relevant functional endpoints.

- Develop high-content imaging and plate-based assays (96- and 384-well formats) suitable for compound screening, target validation, and mechanism-of-action studies; partner with screening and ADME groups to qualify assays for internal use.

- Apply AI/machine learning–based image analysis approaches for cellular phenotyping and high-content readouts, in partnership with computational team members.

- Contribute to the design, execution, and analysis of pooled and arrayed CRISPR screens (CRISPRko, CRISPRi, CRISPRa) in iPSC-derived models, including library handling, lentiviral packaging, transduction, FACS- or imaging-based selection, and single nuclei RNA and ATAC seq sample preparation.

- Generate and maintain stable cell lines, lentiviral reporter systems, and inducible expression systems to support discovery programs.

- Maintain rigorous electronic lab notebook records, contribute to internal data reviews, present results at group and cross-functional meetings, and contribute to publications, posters, and patent filings.

- Develop, optimize, and document standard operating procedures; train junior team members on established assays and platforms.

- Coordinate with external academic collaborators and CRO partners on cell line generation, screen execution, and assay transfer.

**Education**

**About You**

- BS with 4+ years OR MS with 2+ years, of relevant laboratory experience in stem cell biology, neuroscience, molecular biology, cell biology, or a related discipline.

**Experience & Technical Skills**

- Demonstrated hands-on proficiency in human iPSC culture, banking, karyotype/STR/pluripotency QC, and directed differentiation into at least one CNS cell type (microglia, astrocytes, oligodendrocyte-lineage cells, or neurons).

- Hands-on experience developing plate-based and/or high-content imaging assays, including assay miniaturization, Z’-factor and reproducibility assessment, and basic statistical interpretation of phenotypic data.

- Familiarity with high-content imaging platforms (e.g., Opera Phenix, ImageXpress, IN Cell, Yokogawa CV8000) and image analysis tools (Harmony, Columbus, CellProfiler, QuPath).

**Soft Skills**

- Strong organizational skills, meticulous record-keeping, and the ability to manage multiple parallel workflows in a deadline-driven environment.

- Excellent written and verbal communication; comfort presenting data to scientific audiences.

**Preferred Qualifications**

- Experience with co-culture, tri-culture, or organoid systems modeling neuron–glia interactions.

- Hands-on experience with CRISPR/Cas9 genome editing in human iPSCs, including guide design, delivery (RNP, lentiviral, or transfection), clone isolation, and validation of edited lines.

- Direct experience executing pooled or arrayed CRISPR screens, including library handling, transduction, selection strategy, NGS sample preparation, and first-pass analysis using MAGeCK or comparable tools.

- Background in neurodegenerative disease research, particularly TDP-43 proteinopathies, ALS, FTD, or related disorders.

- Working knowledge of R or Python sufficient to perform QC, generate exploratory plots, and interface with computational collaborators.

- Familiarity with AI/machine learning–based image analysis for cellular phenotyping.

- Experience with CRISPR activation/interference systems.

- Prior pharmaceutical or biotechnology industry experience and exposure to GLP/GxP-adjacent documentation practices.

- Co-authorship on peer-reviewed publications.

**Why Choose Us**

- Bring the miracles of science to life alongside a supportive, future-focused team.

- Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.

- Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.

- Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.

- Be part of a pioneering biopharma company that engages patients early in drug development and uses their insights to design studies that reflect real-world needs.

- Help improve the lives of millions of people globally by making drug development quicker and more effective.

- Work at the forefront of drug discovery, harnessing cutting-edge AI, data, and digital platforms to push the boundaries of science.

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

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All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.

AI-Enabled iPSC Disease Modeling & Functional Genomics

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