Biomedical Informatics Analyst II

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Job ID:

20 Overland Street, Boston, MA 02215


Employment Type:
Full time

Work Location:
PTL Remote: 2-3 days remote/wk


Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

Bioinformatics is a growing team within the Informatics and Analytics Department (I&A) of Dana-Farber Cancer Institute (DFCI).  The team addresses unmet needs for bioinformatics, data management, and data mining and analysis across research, clinical, and operational units; accelerates use of bioinformatics and data science methods, data, and tools within DFCI; and bridges the gap between research and clinical practice by helping design and implement operational solutions.

The Biomedical Informatics Analyst will collect, curate, integrate, and analyze biomedical data to provide actionable information to clients in close collaboration with the I&A Research Informatics Operations (RIO) team. The Analyst will have access to an extraordinary range of healthcare and research data, including clinical trial data, medical and pharmacy records, scheduling, referral, and results of laboratory and molecular tests. Using these data, the Analyst will provide analysis and reporting in research, operational, and clinical areas, with specific emphasis on trend evaluation and management as well as on utilization of clinical trial information and outcomes.

The Biomedical Informatics Analyst will develop an in-depth understanding of the data structures and analysis workflows within clinical trial domain, as well as the ability to translate specifications into programming logic and algorithms, visualizations and reports. In addition, the Analyst must have excellent communication skills and ability to engage and educate clients and other analysts within the community. The Analyst will be expected to support new projects, function independently within a fast-paced environment, work on several different projects concurrently, and coordinate the effort with other I&A groups as needed.  Assignments may include data collection, harmonization, and complex multi-disciplinary data analysis projects.  In addition to the RIO team, the Analyst will collaborate with the Enterprise Data Warehouse (EDW) team to address data requirements and build data architecture to support robust analytics reporting.  The Analyst will work with a variety of tools (e.g., SAS, SQL, Excel, Oracle, Tableau, R, Python and/or Java) to access data, write queries, develop programming logic and algorithms, manipulate and analyze large datasets and generate reports to meet DFCI needs. The Mission, Vision, and Core Values of the Dana-Farber Cancer Institute are incorporated into all areas of practice.



  • Provide quantitative and qualitative data analysis and reporting support to I&A clients, including DFCI clinical departments and disease groups, in areas related to clinical trials in research, clinical research, and operations
  • Collaborate and coordinate efforts with the I&A RIO group to ensure alignment of project goals, consistency of analytics process and proper data access and stewardship; collaborate with other I&A groups, including EDW team, as appropriate for support and implementation of analytics across teams
  • Utilize business intelligence and other appropriate tools to create reports and dashboards for research analytics and operational use
  • Serve as a technical expert for compiling, cleaning, manipulating, and analyzing data related to assigned projects
  • Write and develop complex, iterative, and multi-part reports and prepare executive summaries
  • Document project and data requirements, reporting, analytics, and visualization processes
  • Build and foster an institute-wide analytic community of practice by training, educating and bringing together analysts, data stewards, business stewards and analytics consumers
  • Perform other similar and related duties as required or directed



  • Bachelors degree required, MS preferred or PhD in bioinformatics, computer science and/or the life sciences and 3-5 years relevant experience.  Performs primary duties as above and has progressed to performing more advanced skillsets as directed.  Requires general supervision with latitude for independent judgment.

  • Strong quantitative stills, programming abilities, and statistical training (e.g., SAS, R, or Python) are required
  • Must be able to function independently as well as in team settings in a fast-paced environment while managing multiple priorities and fully documenting work
  • Must have superior interpersonal and communication skills to work and communicate effectively with all levels of internal and external staff
  • Experience developing reports with a business intelligence tool such as Tableau is desired
  • Fluent computer skills, i.e. MS Excel, Access, PowerPoint, Word


Technical skills:

  • Knowledge of data storage platforms including Microsoft SQL, Excel, and Access
  • Experience in SQL server, MySQL or Oracle; able to use relational databases and program independently in at least one system
  • Comfortable with manipulating data, extracting desired information perform data analysis and troubleshooting data integrity issues
  • Prior experience with a business intelligence tools, such as Tableau, QlikView, or Microstrategy is a plus
  • Proven experience in statistical analysis in at least one programming language including SAS, R, Stata or other
  • Comfortable using a programming languages, such as R and/or Python, to manipulate and analyze biomedical data. Must be able to develop coding and table templates for preparing, processing and analyzing data
  • Comfortable with learning new software tools
  • Competent with Microsoft Office tools (Word, PowerPoint, Outlook, Visio, Sharepoint, Teams, etc.)

Qualitative Skills:

  • Able to explore data independently
  • Analytical reasoning and problem solving
  • Able to self-check and ensure accuracy of all reports before delivering results to clients
  • Proven ability to design and develop reports
  • Solid oral and written communication skills
  • Must be able to function as part of project teams while also independently managing multiple priorities
  • Must be very flexible in coordinating complex activities that may be subject to rapid or extensive changes, and be able to prioritize urgent requests
  • Exceptional service orientation
  • Ability to motivate and inspire others in a team-oriented, collaborative environment
  • Ability to effectively manage client and partner expectations
  • Willingness to invest in learning and understanding diverse stakeholder needs, motivations, practices, science, business demands, and cultures to enable consensus-based solutions
  • Strong sense of balance and ethics, ability to consistently represent the interests and mission of the DFCI and act on behalf of current and future patients

At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong.  As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff.  Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.

Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other groups as protected by law.

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