Bioinformatics Lead

About Biostate AI, Inc.

Biostate AIaims to build a foundational model of biology that can predict the evolution of health and disease. For each subject, Biostates neural network will use past multiomic state information to predict future multiomic states, which in turn can be used to classify future disease states. Biostates ultimate goal is to improve human health span, and proximally can facilitate biopharma drug development through accurate prediction of toxicology in preclinical research.

Our Culture

AtBiostate AI,our core values areHonesty, Discipline, Efficiency, Initiative, and Meritocracy.Team members are encouraged and expected to take ownership of their projects, evaluate and decide effort allocation among multiple projects, continuously learn in an inter-disciplinary manner, provide direct feedback to management, continually challenge conventional assumptions and innovate from first principles, and contribute to the companys growth and success. We embrace a move fast and break things attitude, encouraging our team members to take calculated risks, experiment with new ideas, and learn from failures. We value the ability to move quickly, iterate on ideas, and push boundaries.

:

We are seeking an experienced Bioinformatics Technical Lead to drive our computational biology initiatives. The ideal candidate will have 68 years of industry or academic experience (PhD or Masters in a relevant field) with a proven track record in developing and refining high-throughput pipelines for omics data, including RNA-seq, methylation, and new NGS modalities. This highly technical position requires creativity and an aptitude for developing novel computational algorithms. You will work directly with distinguished professors from leading institutions such as MIT, Caltech, Harvard, and others. This role is primarily an individual contributor position with limited leadership responsibilities, guiding a small team (24 highly qualified bioinformaticians) in a technical capacity rather than acting as a full-time manager.

Pipeline Development & Optimization

• Design, implement, and optimize scalable, production-grade pipelines for NGS data analysis (RNA-seq, whole-genome, whole-exome, methalomics, NIPT development, novel PCR analysisetc.).
• Ensure reproducibility, efficiency, and accuracy of computational workflows.

Algorithm & Data Analysis

• Develop and apply novel computational algorithms for gene expression profiling, variant calling, haplotype calls and other genomic analyses.
• Perform rigorous data mining and statistical analyses to extract actionable insights from large datasets.

Technical Leadership

• Guide and mentor junior bioinformaticians and computational scientists.
• Conduct code reviews, provide technical feedback, and champion best practices across the team.
  

Collaboration & Cross-Functional Engagement

• Work closely with molecular biologists, data scientists, and software engineers to translate project goals into robust computational strategies.
• Communicate results, provide data-driven recommendations, and contribute to scientific publications and intellectual property (as appropriate).

Quality & Compliance

• Maintain high standards of data integrity, documentation, and version control.
• Implement quality control checks and validation strategies for all workflows.
  

Required Qualifications

Education:

• PhD in Bioinformatics, Computational Biology, Computer Science, or related field; or
• Masters degree with significant, demonstrable experience.

Experience:

• 68 years of hands-on experience analyzing high-throughput NGS data, with an emphasis on RNA-seq.
• Proven track record of developing and deploying production-level bioinformatics pipelines.

Technical Skills:

• Strong programming background in at least one major language.
• Familiarity with HPC clusters or cloud computing environments.
• Expertise in data mining, machine learning, or statistical modeling techniques relevant to genomics.

Leadership & Communication:

Prior experience in a lead role, supervising or mentoring junior team members.

• Excellent written and oral communication skills for technical and non-technical audiences.
  

Preferred Qualifications

• Experience working in a regulated environment (e.g., CLIA, CAP, or similar).
• Familiarity with workflow management systems (e.g., Nextflow, Snakemake, Cromwell).
• Knowledge of containerization technologies (Docker, Singularity) and CI/CD pipelines.
• Publications or patents in computational genomics or related areas.

Soft Skills

• Demonstrated ability to work in a fast-paced, collaborative environment.
• Strong problem-solving and critical-thinking abilities.
• Adaptability and willingness to embrace new technologies and methodologies.