Jobs › Companies › Verista, Inc. › 6550 - Business Systems Analyst / Early Research SME

Sobre este puesto de 6550 - Business Systems Analyst / Early Research SME en Verista, Inc.

Verista, Inc. · Presencial · Cambridge, MA

Description

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.

Company Culture Guidelines & Values:

  • We empower and support our colleagues
  • We commit to client success at every turn
  • We have the courage to do the right thing
  • We encourage an inclusive environment where our colleagues feel respected, engaged, and challenged.
  • We constantly acquire new skills and learn from our experiences to enhance our collective expertise

Job Introduction: We are 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.

Job Responsibilities:

  • Business Process Mapping: 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
  • Requirements Translation: Convert scientific use cases and analytical bottlenecks into structured epics, detailed user stories, and system workflow diagrams for platform and data engineering teams
  • Delivery Management: Maintain and groom the team's backlog, managing sprint goals and execution cadence in collaboration with the Platform Lead
  • Application Enablement: Develop clear user documentation and IT SOP to drive platform adoption across scientific end-users

Job 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

For US geography, the salary range for this position is shown below. The actual salary is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs, market demand, and competitive market practice. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This salary range is subject to change and may be modified in the future.

*Verista is an equal opportunity employer.

National (US) Range
$90,039—$136,225 USD

Benefits

Why Choose Verista?

  • 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

Verista collects and processes personal data in accordance with applicable data protection laws.  If you are a California Job Applicant, see the privacy notice for further details. 

For more information about our company, please visit us at Verista.com

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Cómo se compara este salario de Business Analyst

Este puesto paga $113,132/yr — en línea con el rango típico para los puestos de Business Analyst.

$65,340 la mediana de $104,696 $150,500

Rango típico $84,650–$126,800/yr, a partir de 997 ofertas comparables de Business Analyst en JobsRadar (salario anualizado en USD). Ver datos salariales de Business Analyst →

Sobre Verista, Inc.

 

Looking for an exciting opportunity at a fast growing, employee-oriented company?

 
Verista’s 500 experts team up with the world’s most recognizable brands in the life science industry to solve their business needs. Whether it’s compliance, quality management, verification, validation, automation, IT infrastructure, data analysis, manufacturing, or packaging, we deliver solutions that are right the first time.
 
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.
 

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