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Bioinformatics Analyst III
- Actalent (Cambridge, MA)
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Job Title: AI/ML Scientist – Single-Cell & Spatial Omics (Contract)
Duration: Contract Through End of Year
Overview:
We are seeking a highly motivated AI/ML Scientist to join a cutting-edge initiative focused on building a comprehensive Single-Cell Fibroblast Atlas. This role offers the opportunity to work at the intersection of computational biology, immunology, and translational medicine, applying advanced machine learning techniques to large-scale single-cell and spatial omics datasets.
Key Responsibilities:
+ Curate, harmonize, and analyze large-scale single-cell and spatial omics datasets, with a focus on fibroblast biology.
+ Develop and optimize predictive AI/ML models to classify fibroblast states, identify regulatory networks, and generate disease-relevant insights.
+ Integrate multi-modal data (e.g., scRNA-seq, spatial transcriptomics) to construct a comprehensive fibroblast atlas.
+ Collaborate with cross-functional teams to translate biological questions into computational solutions.
+ Document data processing and modeling workflows to ensure reproducibility and transparency.
+ Interpret model outputs to uncover insights into fibroblast heterogeneity and tissue-specific functions.
+ Contribute to time-sensitive projects supporting target discovery and prioritization.
Required Qualifications:
+ MS with 5+ years of experience or PhD in Bioinformatics, Computational Biology, Computer Science, Biostatistics, AI/ML, or related field.
+ Proficiency in Python and standard ML/data science libraries.
+ Experience with HPC or cloud environments for large-scale omics and imaging datasets.
+ Domain knowledge in single-cell analysis, spatial omics, or systems immunology.
+ Strong communication and documentation skills.
+ Ability to independently design, execute, and troubleshoot computational workflows.
Preferred Technical Skills:
+ Python libraries: NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn
+ Deep learning frameworks: TensorFlow and/or PyTorch
+ Version control: Git
+ Single-cell analysis tools: Scanpy, Seurat, Bioconductor
+ Multi-modal integration: CITE-seq, ATAC-seq, proteomics, imaging mass cytometry, spatial transcriptomics
Bonus Skills:
+ Experience with computer vision tools (OpenCV, Scikit-image)
+ Knowledge of cell type annotation, clustering, and trajectory inference
+ Experience building multi-modal AI/ML models linking transcriptomic, proteomic, and imaging data
If interested, please reach out directly to Lindsee Allienello at lallienello @ actalentservices.com.
Pay and Benefits
The pay range for this position is $60.00 - $65.00/hr.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
• Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a hybrid position in Cambridge,MA.
Application Deadline
This position is anticipated to close on Oct 10, 2025.
About Actalent
Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email [email protected] (%[email protected]) for other accommodation options.
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