Biopharma Data Analyst

JOB DESCRIPTION:

Location: Remote (U.S.-based)
Team: Data & Analytics
Position Type: Full-Time
We do not sponsor or take over sponsorship of any immigration visa or permanent residency. Candidates must be authorized to work in the U.S. for any employer and not need sponsorship by BioCentury for employment at any time.

BioCentury is seeking a Data Analyst to work on BioCentury’s BCIQ database as part of a Data & Analytics group, with a focus on product development. This role will help drive value to the database, supporting the ongoing evolution of BCIQ as a product by incorporating advanced technologies, user-informed improvements and strategic positioning to deliver a top-quality, reliable source of biopharma data to support the creation of new therapies and technologies by biotech companies and investors.

BioCentury provides independent deep-dive analysis, high-quality data and high-impact networking events for biopharmaceutical executives and investors in the U.S., Europe, and Asia. We employ a fully integrated multimedia platform—including electronic publications, online data solutions, interactive websites, webcasts, and in-person as well as digital conferences. No matter where our customers are in the drug development process—from idea to patient—we help answer critical questions, decipher strategic trends, and assess competitive, financial, and policy risks.

BCIQ is a database incorporating curated information on biotech companies, financings, deals, therapeutic pipelines, targets and modalities to support competitive landscaping, deal and financing strategy, and, importantly, horizon scanning. It is also an actively developed product, shaped by customer needs, internal strategy and continuous iteration.

Role Summary:

As a Data Analyst, you’ll join a high-impact team responsible for identifying, validating and enriching biopharma data across a wide range of domains—clinical trials, product pipelines, molecular targets, deals, company records and more—with a strong focus on how the data are structured, surfaced and used within the product.

You’ll help ensure BioCentury’s BCIQ platform remains a trusted source of structured, decision-ready intelligence, while also contributing to product-driven enhancements that improve usability, clarity and analytical value for users.

You will have the opportunity to bring ideas, grow skills and gain expertise in one or more areas of drug development and product development as you help advance the platform.

We welcome candidates ready to contribute to improving processes, for example, incorporating AI in the right places, including proposing enhancements based on user needs, product goals or observed data gaps. Ideal candidates are eager to learn not only the data itself, but how different data types power user workflows and product features.

When you join, you will be supported by structured onboarding and cross-functional collaboration, working closely with product managers and other data analysts, in an environment with a strong focus on data quality, workflow precision, and professional growth.

BioCentury is always keen to grow our talent. The more you learn, the more we aim to expand your responsibilities and contributions.
 

Specific Responsibilities:

The role will involve mastering all responsibilities outlined below, while providing opportunities to develop deep domain expertise and take on leadership in specific data domains, workflows, or initiatives over time.

• Review and interpret press releases, company websites, public filings, and regulatory sources to extract relevant biopharma data
• Review and convert key biopharma developments—such as financings, partnerships, and pipeline updates—into accurate, organized entries in our database
• Maintain, update, and validate data entries to ensure accuracy, clarity, and consistency across our database
• Apply decision protocols to resolve data ambiguities, and escalate complex cases when necessary
• Collaborate with cross-functional teams to improve data workflows, support new product features, and address quality or usability issues
• Contribute to product-focused initiatives, such as defining data requirements for new features or improving schema design
• Build expertise in areas such as data governance, SQL querying, Power BI, product analytics or prompt engineering
   

What Success Looks Like:

Your progress will be evaluated on a continual basis, based on your achievement of new competencies, and periodic feedback from your peers and mentors. As you grow, you'll have the opportunity to:

• Take ownership of specific data domains and workflows -- with an understanding of their downstream product impact
• Lead or contribute to data quality projects, product enhancements and protocol refinement
• Train others or serve as a subject-matter expert in specific data domains
• Develop skills across a range of data and biotech topics, including product development concepts, with a clear growth path that supports your advancement from foundational to expert-level capabilities
   

Minimum Qualifications:

• Master's or PhD in life sciences, data science, business, or a related field
• Exceptional attention to detail and a methodical approach to following structured workflows and ensuring data accuracy
• Proven ability to take initiative, manage your time effectively, and follow through on tasks with minimal supervision
• Strong communication skills and comfort working in a distributed team environment
• Experience working with structured data systems (e.g., Excel, SQL, Airtable)
• Familiarity with biotech, clinical development, or regulatory affairs
• Interest in how data powers user-facing products and analytical workflows
   

Preferred (but not required) Experience:

• Familiarity with drug development, licensing, and private equity transactions
• SQL or Python for data extraction or cleaning
• Power BI or similar tools for building dashboards or reports
• Experience with entity extraction or natural language processing tools or product analytics
• Reading fluency in Chinese is an advantage, including the ability to understand technical biopharma content
   

Ethical Standards

All BioCentury employees are expected to meet the highest standards of accuracy, confidentiality, and professionalism. Data Analysts are entrusted with proprietary data and are expected to uphold strict information quality and integrity guidelines at all times.
 

COMPENSATION & BENEFITS

• Salary Range: $65,000–$80,000 per year
• Company-sponsored U.S. health and life insurance
• 401(k) plan with company match
• Professional development opportunities aligned to your growth goals
  
  Interested candidates should submit a resume and cover letter to ftbi@biocentury.com. Only applications that include a cover letter will be considered.