Cellarity | Somerville, MA Machine Learning Scientist

Flagship Pioneering; Somerville, Northern (MA, KY); Hybrid; USD 132,000 - 209,000; Full time

Benefits offered by this job

Health insurance

Retirement benefits

Job summary

Cellarity, a Flagship Pioneering company, seeks a Machine Learning Scientist to lead methods for applying proprietary foundation models to accelerate drug discovery. You will work closely with biology, chemistry, and omics teams to translate research into scalable ML solutions that identify novel interventions and targets.

You will develop and fine‑tune models for high‑dimensional data, ensure interpretability, and deploy inference on cloud platforms, collaborating with cross‑functional

Qualifications

• PhD in Computer Science, Computational Biology, or related field, or Master’s with 3+ years or Bachelor’s with 6+ years ML in drug discovery.
• Strong foundation in statistics, deep learning and generative AI.
• Experience with high-dimensional biological data analysis (scRNA-seq, multi-omics).
• Experience with Perturb-seq data, including analysis and modeling.
• Familiarity with single-cell foundation models (Geneformer, scGPT) and downstream tasks.
• Experience with pretrained foundation models or deep generative models for biology.
• Cloud computing (AWS/GCP) and MLOps best practices.
• Excellent communication in interdisciplinary teams.

Responsibilities

• Apply, fine-tune, and post-train foundation models on scRNA-seq and other modalities for disease modeling.
• Build state-of-the-art perturbation models using multi-modal data and CRISPR screen data.
• Develop interpretability methods to infer gene networks and regulatory mechanisms.
• Deploy and run inference on generative AI models on cloud platforms.
• Establish benchmarking frameworks to assess context generalization and improvement.
• Stay current with research in foundation models and perturbation modeling.

Skills

PhD/MA in CS

Deep learning

Generative AI

Cloud computing

Single-cell data

Perturb-seq familiarity

Statistical methods

Interdisciplinary collaboration

Education

PhD in CS/Computational Biology or related

Masters + 3+ years ML for drug discovery

Bachelor + 6+ years ML for drug discovery

Tools

AWS/GCP

MLOps

Python/TensorFlow/PyTorch

Job description

What if you could join a rapidly growing company and play a critical role in bringing new medicines to patients through looking at and treating disease in a revolutionary way.

What this position is all about:

We seek a Machine Learning Scientist to join our ML team and lead focused efforts in applying and adapting proprietary foundation models to enable Cellarity’s predictive drug discovery platform. As a lead ML Scientist the candidate will develop and apply AI methods to identify novel interventions and targets to accelerate early drug discovery.

This role involves hands‑on modeling of high‑dimensional biological data, leveraging and fine‑tuning state‑of‑the‑art foundation models, while enabling interpretability and biological reasoning. Ideal candidate will have demonstrated application of deep learning and computational biology to biological problems.

The successful candidate will work closely with researchers in biology, chemistry, and omics technology in a collaborative environment.

What you would be responsible for:

• Apply, fine‑tune, and post‑train foundation models (e.g., transformer‑based, diffusion, VAE architectures) on single‑cell RNA‑seq data and other modalities to model disease cellular states
• Build state‑of‑the‑art perturbation models using multi‑modal perturbation data (small molecules, CRISPR, cytokines) and phenotypic data, with emphasis on CRISPR screen data (e.g., Perturb‑seq).
• Develop mechanistic interpretability methods to infer gene networks and regulatory mechanisms via attention, graph‑based, and/or causal representation methods, supporting downstream applications such as target identification.
• Deploy and run inference on generative AI models using proprietary datasets on cloud platforms.
• Establish clinically relevant benchmarking and evaluation frameworks to assess context generalization and guide model improvements.
• Stay current with the latest research in foundation models, representation learning (across biology, NLP, vision, and audio), and perturbation modeling.

Scientific Collaboration

• Collaborate with interdisciplinary scientists from biology, chemistry, and technology teams to translate research questions into cutting‑edge ML solutions.
• Opportunity to collaborate with and co‑develop platform modules alongside other Flagship Pioneering companies.
• Communicate technical concepts clearly to diverse scientific audiences.

What experiences will you need:

• PhD in Computer Science, Computational Biology, or related field, OR Master's degree with 3+ years or Master's or Bachelor's degree with 6+ years of relevant ML research experience for drug discovery.
• Strong foundation in statistics, deep learning and generative AI.
• Experience with high‑dimensional biological data analysis (bulk/single‑cell RNA‑seq, gene regulatory networks, PPI networks, multi‑omics integration).
• Experience with chemical / CRISPR perturbation screen data (e.g., Perturb‑seq), including analysis and modeling.
• Familiarity with single‑cell foundation models (e.g., Geneformer, scGPT, scFoundation) and their downstream applications.
• Experience applying or fine‑tuning pretrained foundation models or deep generative models for downstream biological tasks.
• Experience with cloud computing (AWS/GCP) and MLOps best practices.
• Excellent communication skills and ability to work in interdisciplinary teams.

What sets you apart:

• Experience building agentic AI systems (e.g., LLM‑based agents, tool use, multi‑step reasoning workflows) for scientific discovery or data analysis.
• Familiarity with target identification and prioritization in drug discovery.

What it’s like to work at Cellarity
At Cellarity, we

• Push Boundaries: We create a legacy with breakthrough science in service of patients.
• Inject Energy: We build strengths from different perspectives and tell it like it is
• Own it: We transcend our job descriptions and relentlessly follow through on our commitments.
• Go all out: We work quickly and with conviction.

Company Summary: Cellarity is a privately held, clinical‑phase drug discovery startup using AI and single‑cell omics to develop life‑changing medicines that are unreachable by traditional methods of drug discovery. Our pipeline spans multiple exploratory programs across different indications, offering broad opportunities to apply machine learning to diverse disease areas. Cellarity is a product of Flagship Pioneering's venture creation engine, which has conceived and created companies such as Moderna (NASDAQ: MRNA), Generate:Biomedicines, and Lila Sciences.

Cellarity 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.

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

The salary range for this role is $132,000 - $209,000. Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience. Cellarity currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Cellarity's good faith estimate as of the date of publication and may be modified in the future.

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