Senior Scientist, Machine Learning and Protein Design

Who We Are

Arcellx is a public, clinical-stage biotechnology company reimagining cell therapy by engineering innovative immunotherapies for patients with cancer and other incurable diseases. We believe that cell therapies are one of the forward pillars of medicine and our mission is to destroy cancer and advance humanity by developing cell therapies that are safer, more effective, and more broadly accessible.

Our team members are made up of talented innovators and dreamers working from our offices in Rockville, Maryland, and Redwood City, California. At Arcellx, we hire exceptional people and create a fun, diverse, supportive, and informal environment that allows everyone to do their best work.

What Matters to Us

Living our core values is essential to maintaining a work environment that is high-performing, inclusive, and collaborative. We look for candidates who demonstrate strong values alignment and bring different backgrounds, viewpoints, and abilities to the team.

Arcellx Core Values

• Character: Committed to always doing what’s right.


• Audacity: Willing to challenge convention and share candid feedback with others.


• Determination: Curious and self-motivated. Always looking to improve and learn.  


• Collaboration: "No job is too small" mentality. Humble and willing to help others.


• Originality: Will bring your unique perspective to the table and respect a diverse set of views and backgrounds.

How You’ll Make a Difference

The Senior Scientist role will be a key member of the Discovery team, responsible for leading and collaborating on machine learning-based protein design initiatives in the development of new cell therapies. Engaging with a cross-functional team in a fast-paced environment, you’ll identify and develop Arcellx’s lead therapeutic candidates. Our potentially life-saving treatments would not exist without the work of our talented Discovery scientists; this role will have a tremendous impact on our pipeline and ability to deliver novel and effective drugs to patients.   

The “Fine Print” – What You’ll Do

• Lead and collaborate with an interdisciplinary team of scientists to design and evaluate novel proteins and de novo biological systems in support of therapeutic programs.


• Implement and develop ML-based, protein design solutions for structure prediction, paratope/epitope analysis, affinity maturation, developability assessment, scaffold optimization, library design, immunogenicity and other protein engineering challenges.


• Communicate progress and project recommendations in one-on-ones, project teams and company-wide meetings.

Skills and Experience We Look For

• PhD in computer science, computational biology, structural biology, synthetic biology, biophysics, bioinformatics or related discipline. 


• Demonstrated expertise in generative AI and deep learning algorithms, frameworks, associated programming languages and systems architecture. 


• The ability to independently design, build and evaluate ML models.


• Expertise in state-of-the-art protein design applications such as Rosetta, AlphaFold2, RoseTTAFold, RFdiffusion, ProteinMPNN, etc.


• Strong working knowledge of protein developability considerations for therapeutic proteins.


• Able to work collaboratively and communicate effectively in interdisciplinary teams.

Rewards at Arcellx

Our people are our greatest asset, and supporting their well-being is an essential part of delivering on our mission and impacting the lives of patients. Putting this belief into practice means offering strong compensation and benefits.

The estimated base salary range for this position is $185,000 - $195,000 per year, but we are open to considering various levels and compensation ranges based on a candidate's experience and skillset. Our compensation package also includes an annual bonus based on company goals and an equity (RSU) grant. We do offer relocation assistance for roles if required.

Our market-leading benefits package includes: 100% coverage for medical, dental and vision for team members and dependents, unlimited vacation, a 3-day weekend every month, fully-paid parental leave for up to 6 months, tuition reimbursement, 401k employer contribution and more. 

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