Sr. Bioinformatics Scientist

Insight Global; United States; On-site; USD 150,000 - 169,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

HSA, FSA, DCFSA options

401k with employer matching

Paid sick leave and PTO

Job summary

Insight Global is seeking a Sr. Bioinformatics Scientist to join our Bioinformatics and Data Science Team focused on regulated diagnostics. You will design, develop, and optimize genomic assays, lead analytics, and drive robust production workflows using AWS.

The role requires a PhD or MS in a related field, 6–7+ years in bioinformatics, strong Python and ML skills, and a track record of delivering regulatory-grade analyses with cross-functional teams.

Qualifications

• PhD or MS in bioinformatics, computational biology, or adjacent data science field.
• 6-7+ years of experience in bioinformatics analysis, algorithm development, and pipeline implementation.
• Thorough understanding of NGS technologies and library preparation methods.
• Proficiency in quantitative transcriptomics from NGS data in human disease/biology.
• Proficiency in machine learning and development of novel bioinformatics methodologies.
• Experience deploying bioinformatics workflows in AWS (EC2, S3, Step Functions, Batch, Lambda).
• Strong proficiency in Python with testing frameworks and SDLC practices.
• Collaboration with Quality and Regulatory Affairs on assay development and verification.
• Demonstrated leadership, ownership, and independent work.

Responsibilities

• Lead bioinformatics design, development and validation efforts for new and on-market products.
• Apply bioinformatics, genomics, and assay technologies to achieve development objectives.
• Drive study design and analysis for assay development with cross-functional teams.
• Develop statistical and ML techniques to evaluate assay performance and optimize processes.
• Communicate analysis results and methodologies to internal and external stakeholders.
• Develop scalable, production-grade workflows for high-throughput NGS data on AWS.
• Work with infrastructure and engineering teams to deploy production pipelines.
• Ensure regulatory compliance throughout development lifecycle and documentation.
• Provide technical guidance and mentorship to junior team members.

Skills

Python

Machine Learning

Leadership

Data Analysis

Education

PhD in bioinformatics

MS in bioinformatics

Tools

AWS

R

Databases (SQL/NoSQL)

Job description

We are seeking an experienced and motivated Sr. Bioinformatics Scientist to join our Bioinformatics and Data Science Team focused on developing regulated diagnostics products. The ideal candidate will bring deep expertise in NGS technologies with a strong understanding of regulatory environments including CAP/CLIA and IVD product development. The successful candidate will play a crucial role in designing, developing, and optimizing our next generation of genomic assays. This position requires a unique blend of expertise in bioinformatics, extensive experience in assay optimization, analytical validation, strong skills in analytical pipeline development, automation and optimization, a deep understanding of molecular biology, and a passion for transforming complex biological data into actionable insights.

KEY RESPONSIBILITIES:

• Lead bioinformatics design, development and validation efforts in assay development for new and on-market products. As part of project core teams, this individual must be responsible for coordinating planning, execution, and delivery within timelines and budget constraints.
• Apply leading edge knowledge in bioinformatics, genomics, and assay technologies, to contribute to development of company's concepts and principles and to achieve assay development objectives in creative and effective ways.
• Drive development study design and all analysis for assay development effort in collaboration with cross-functional teams.
• Develop statistical and machine learning techniques to comprehensively evaluate assay performance and create optimization strategies.
• Communicate analysis results, methodologies, and scientific findings to internal teams, external collaborators, and stakeholders.
• Develop scalable, production-grade workflows for high-throughput NGS data analysis using AWS and containerized environments.
• Facilitate successful production pipeline deployment by working closely with infrastructure and engineering teams
• Ensure compliance with regulatory standards (CAP/CLIA, FDA, IVDR) throughout the bioinformatics development lifecycle, including rigorous testing and documentation.
• Contribute to regulatory submissions and audits by providing technical documentation and validation reports.
• Provide scientific guidance and mentorship to junior bioinformatics team members.

REQUIRED EXPERIENCE:

• PhD or MS in bioinformatics, computational biology, or an adjacent data science field, such as biostatistics, statistics or computer science.
• 6 -7+ years of experience in bioinformatics analysis, algorithm development, and pipeline implementation.
• Thorough understanding of NGS technologies and various methods for library preparation (WGS, enrichment, RNA-Seq, methylation, etc.).
• Proficiency in quantitative transcriptomics from NGS or expression microarray data in human disease/biology specifically, such as differential expression, dimension reduction, expression-based classifier development, RNA-based signatures, cell type deconvolution.
• Proficiency in machine learning, development of novel bioinformatics methodologies, and algorithms development, including benchmarking of computational methods.
• Proven experience developing and deploying bioinformatics workflows in AWS (e.g., EC2, S3, Step Functions, Batch, Lambda, etc.).
• Strong proficiency in Python, including experience with testing frameworks and SDLC best practices.
• Close collaboration with Quality and Regulatory Affairs team on assay and analysis pipeline development and verification.
• Demonstrated record of technical and scientific leadership, ownership, and independent work.

RELEVANT EXPERIENCE (preferred but not required):

• Track record of working with wet lab scientists on iterative experiment design, execution, analysis, and interpretation as a tightly integrated team.
• Proficiency in genomics, sequence analysis, and secondary analysis, such as variant calling (e.g., SNVs/MNVs/indels, CNV, structural variants), NGS QC, splicing, circular nucleic acids.
• Strong understanding of germline and somatic mutation processes leading to complex variation and genome-wide biomarkers with potential clinical utility, such as TMB, mutational signatures, LOH.
• Working knowledge of R.
• Experience with relational and non-relational database technologies is a plus.
• Excellent communicator about complex technical topics in an interdisciplinary setting, especially by using data visualizations and diagrams.
• Excellent technical problem solving and troubleshooting skills.

CULTURAL FIT:

• Passion for Innovation: You are deeply curious and driven to explore uncharted territories in genomics. Your passion for discovery motivates you to use novel analytical approaches to bring new insights to assay optimization and evaluation.
• Collaborative Spirit: You thrive in a collaborative environment, bringing a positive, can-do attitude to interdisciplinary projects. You are skilled at communicating complex ideas to non-experts and active listening, fostering an inclusive atmosphere that values each team member's contribution. You are receptive to feedback and motivated to better serve the team’s needs.
• Adaptability: In our fast-paced industry, change is constant. You are agile and flexible, ready to pivot strategies in response to new data or technologies. Your resilience and open-mindedness help our team navigate the uncertainties inherent in groundbreaking research.

Compensation:

$150,000 - $169,000.

Exact compensation may vary based on several factors, including skills, experience, and education.

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.