Sr Bioinformatics Scientist (MRD)

We are looking for a Senior Bioinformatics Scientist to play a leading role in advancing cutting-edge molecular diagnostics, with a particular focus on minimal residual disease (MRD) testing. This position will drive the development and optimization of bioinformatics approaches supporting laboratory-developed assays from early concept through clinical deployment. This role requires deep expertise in next-generation sequencing (NGS) and oncology-focused applications, including circulating tumor DNA (ctDNA) analysis. The successful candidate will lead the design of computational strategies, oversee analytical validation efforts, and ensure robust assay performance across the development lifecycle. Responsibilities include building and refining scalable analysis pipelines, applying statistical and computational methods to improve assay sensitivity and specificity, and supporting regulatory submissions through detailed documentation and validation evidence. In addition, this individual will provide mentorship to junior team members and communicate complex findings clearly to both technical and non-technical audiences. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Required Skills & Experience

• Ph.D. in Bioinformatics, Computational Biology, Genomics, Biostatistics, or a related quantitative discipline (or Master's degree with additional 3+ years of industry experience)
• 6+ years of experience in biotechnology, diagnostics, or a regulated healthcare environment
• Strong background in NGS-based assay development, particularly in oncology applications
• Hands-on experience working with ctDNA and MRD detection methodologies, including tumor-informed or personalized approaches
• Advanced programming expertise in Python, with a track record of developing scalable and reproducible bioinformatics pipelines
• Experience building and maintaining production-grade workflows, including quality control, variant detection, and reporting processes
• Familiarity with regulated development environments (e.g., CAP/CLIA, IVD, or equivalent) and design control practices
• Proven ability to design and execute analytical validation studies, including accuracy, sensitivity, and reproducibility assessments
• Strong understanding of cancer genomics, mutation biology, and sequencing technologies
• Experience collaborating closely with wet-lab scientists on experimental design, data interpretation, and iterative development
• Demonstrated ownership of projects and ability to operate independently while driving scientific initiatives forward
• Strong communication skills with the ability to present complex analyses to diverse stakeholder groups

Nice to Have

Skills & Experience

• Experience deploying bioinformatics workflows in cloud environments, particularly AWS (e.g., EC2, S3, Lambda, Batch, Step Functions)
• Background in developing error suppression techniques, background noise modeling, or longitudinal MRD tracking approaches
• Familiarity with both germline and somatic variant interpretation and their relevance to clinical biomarker development
• Working knowledge of R or other statistical programming languages
• Experience with database technologies (SQL or NoSQL) for managing genomic data at scale
• Exposure to regulatory submissions, audits, or interactions with governing bodies such as FDA or international regulators
• Prior experience mentoring or leading junior scientists or project teams

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.