Job Description

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

As a Principal Scientist on our team, you'll lead and drive translational bioinformatics strategy and data science efforts across discovery and clinical programs. We are looking for exceptional candidates with deep analytical expertise and strategic thinking abilities who can effectively partner with cross-functional teams, lead data science components of translational plans, and communicate scientific insights to influence program direction.

The “Fine Print” – What You’ll Do 

• Lead the design and execution of bioinformatics strategies to support biomarker discovery, patient stratification, and translational research across early and late-stage programs.
• Drive integrative analysis of high-dimensional, multi-modal datasets including genomics, transcriptomics, proteomics, imaging, and clinical endpoints.
• Act as a strategic thought partner to biomarker leads, clinical scientists, and therapeutic teams, proactively identifying data-driven opportunities and shaping project direction.
• Develop and manage workflows for raw NGS data (e.g., scRNA-seq, RNA-seq, exome) and clinical datasets, ensuring data is analysis-ready and integrated with relevant covariates.
• Apply modern statistical modeling, machine learning, and AI methods to uncover actionable insights and support key program decisions.
• Work cross-functionally with experimental and clinical teams to design and implement translational studies, including statistical analysis plans and study population criteria.
• Analyze data and interpret results from clinical trials and of data from non-trial sources to facilitate program-level decision making.
• Collaborate with Biometrics on the programming of tables, figures and listings to support decision making and for regulatory reporting.
• Collaborate with data engineering and IT teams to define requirements for infrastructure (e.g., AWS cloud, pipelines, LIMS) and ensure seamless data flow and reproducibility.
• Communicate complex analytical findings clearly to diverse audiences, including technical peers, leadership, and external partners.
• Foster strong collaborative relationships with experimental scientists, internal and external stakeholders, including Research, Clinical and Regulatory teams to support multidisciplinary projects.

Skills and Experience We Look For 

• PhD in Bioinformatics, Computational Biology, Biostatistics, or a related field, with 8+ years of experience, including at least 3 years in biotech/pharma translational or clinical research.
• Demonstrated leadership in designing and owning bioinformatics strategies that impact biomarker or clinical development.
• Deep expertise in classical and modern statistical methods, including regression modeling, feature selection, survival analysis, and multi-variable modeling in clinical datasets.
• Proficiency in modern ML/AI techniques (e.g., random forests, XGBoost, SVM, deep learning) and their application to high-dimensional biological or clinical data as well as biomarker discovery.
• Strong coding proficiency in R and Python, especially with regards to statistical packages, adaptation, development and deployment; comfortable working in Unix-based environments.
• Experience with cloud computing platforms (AWS preferred) and data infrastructure concepts such as pipelines, data lakes, and reproducibility best practices.
• Proven ability to handle NGS and multi-omics data end-to-end, from raw data to insight, working with bulk RNA-seq, single-cell RNAseq, whole exome sequencing, spatial RNAseq and other as needed.
• Excellent communication and collaboration skills, with experience influencing cross-functional stakeholders and leading interdisciplinary projects.

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 base salary range for this position is $160,000 - $175,000 per year. Where a candidate falls within that range is determined by factors such as years of experience. 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. 

Join us in our quest to reimagine cell therapy and destroy cancer. For more on our technology, culture, and team, go to .

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