6550 - Business Systems Analyst / Early Research SME
About The Position
Verista is seeking a hands-on Business Analyst who will serve as the strategic bridge connecting wet-lab scientists, computational biologists, and data platform engineers. This role will be responsible for translating complex biological workflows spanning single-cell omics, spatial transcriptomics, high-content imaging, and proteomics into clear technical specifications, structured user stories, and business capability and architecture diagrams. Verista’s 500 experts team up with the world’s most recognizable brands in the life science industry to solve their business needs. The nature of our business is to empower growth and innovation within the scientific community and to help researchers, organizations, and companies solve some of the world’s most pressing healthcare challenges. Verista provides innovative solutions and services that empower informed decision-making and are the result of our significant investment in our people and our capabilities. Our ability to grow is driven by world-class people who thrive in a team environment and share our mission to enable life sciences clients to improve lives. Our talented and dedicated professionals are committed to making an impact every day.
Requirements
- B.S. or M.S. in Bioinformatics, Computational Biology, Life Sciences, Information Technology, or a related field
- 3–5+ years as a Business Analyst, Systems Analyst, or Technical Product Analyst in a biotech, pharmaceutical, or life sciences research organization
- Strong familiarity with multi-omics data modalities (e.g., scRNA-seq, spatial omics, proteomics, pathology) and biological assay workflows.
- Expert in technology with background in bioinformatics or biomedical engineering
- Demonstrated mastery of Agile/Scrum delivery using Jira and Confluence
- Proficiency with workflow mapping tools (Visio, Lucid, Draw.io)
- High-level understanding of cloud-native data platforms (e.g., AWS, Databricks, Snowflake)
- Outstanding ability to translate fluently between bench/computational scientists and software engineering teams
- Must be willing to be on-site, full-time in Cambridge, MA
Responsibilities
- Engage directly with cross-functional biology and translational teams to map end-to-end workflows and data lifecycles.
- Map current-state versus future-state data flows across cloud analytics workspaces, identifying friction points in data ingestion, processing, and downstream visualization.
- Convert scientific use cases and analytical bottlenecks into structured epics, detailed user stories, and system workflow diagrams for platform and data engineering teams.
- Maintain and groom the team's backlog, managing sprint goals and execution cadence in collaboration with the Platform Lead.
- Develop clear user documentation and IT SOP to drive platform adoption across scientific end-users.
Benefits
- High growth potential and fast-paced organization with a people-focused culture
- Competitive pay plus performance-based incentive programs
- Company-paid Life, Short-Term, and Long-Term Disability Insurance.
- Medical, Dental & Vision insurances
- FSA, DCARE, Commuter Benefits
- Supplemental Life, Hospital, Critical Illness and Legal Insurance
- Health Savings Account
- 401(k) Retirement Plan (Employer Matching benefit)
- Paid Time Off (Rollover Option) and Holidays
- As Needed Sick Time
- Tuition Reimbursement
- Team Social Activities (We have fun!)
- Employee Recognition
- Employee Referral Program
- Paid Parental Leave and Bereavement
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
