Managing Consultant (HEOR/ Epidemiology)

BRG•Washington, DC
•$150,000 - $200,000•Hybrid

About The Position

The Managing Consultant is a mid-to-senior-level consulting staff position in BRG’s Healthcare Analytics practice, based in the Boston, New York, or Washington, DC office. The role focuses on generating real-world evidence and conducting epidemiological, pharmacoepidemiological, and health economics and outcomes research (HEOR). The consultant executes and oversees qualitative and quantitative engagement workstreams, analyzes healthcare data, and develops scientific publications and client deliverables. The position also involves managing junior staff and client relationships, contributing to business development, and supporting practice and office activities. Colleagues work together in the office an average of three to four days per week. The Managing Consultant salary range is $150,000–$200,000; job title and compensation may be determined based on qualifications and experience. Candidates must be able to verify their legal right to work in the United States without sponsorship.

Requirements

  • PhD in Epidemiology, Biostatistics, Health Services Research, or a related discipline; a PhD in Epidemiology is highly preferred.
  • At least 3 years of relevant work experience in consulting, the pharmaceutical industry, or regulatory agencies such as the U.S. Food and Drug Administration, focused on epidemiology, pharmacoepidemiology, HEOR, or real-world evidence generation.
  • Strong quantitative and analytical skills, with demonstrated experience designing and conducting real-world evidence studies using healthcare data such as electronic health records, administrative claims, or registries, and applying rigorous epidemiologic and statistical methods.
  • Ability to independently execute complex data analytics in at least one programming language, such as R, SAS, Stata, or Python, and interpret results.
  • Experience collaborating with internal teams and external experts to generate scientific evidence supporting regulatory submissions or decision-making, including FDA-related activities.
  • Experience preparing high-quality presentations, conference abstracts, and peer-reviewed publications.
  • Excellent verbal and written communication skills, including the ability to convey complex concepts to diverse audiences and work effectively in a team, including supervising junior colleagues.
  • Strong attention to detail and organizational skills, with a commitment to continuous learning, professional development, and high-quality work.
  • Ability to work with colleagues in the office an average of three to four days per week at one of the listed office locations.
  • Ability to submit verification of legal authorization to work in the U.S. without sponsorship.

Nice To Haves

  • PhD in Epidemiology.
  • Experience with advanced causal inference methods.
  • Interest in further developing technical skills and mentoring others.

Responsibilities

  • Develop and implement rigorous research methodologies for real-world evidence generation, including epidemiological and pharmacoepidemiological research and HEOR.
  • Analyze healthcare data sources such as electronic health records, claims data, clinical trial data, and registries using statistical tools including R, SAS, and Stata.
  • Design client deliverables and contribute to technical study reports; manage client relationships and communicate results and work product.
  • Plan and manage small- to medium-sized client engagements and discrete segments of larger projects, prioritizing work to meet deadlines and deliverables.
  • Delegate assignments to staff, provide instruction, monitor progress, and review work for completeness and accuracy.
  • Use relevant software tools, analytical methods, and computer models creatively and efficiently to develop solutions.
  • Participate in group practice meetings and contribute to business development, staff training, recruiting, and office functions.
  • Design and conduct observational studies and perform statistical analysis, preferably using advanced causal inference methods.
  • Develop and present scientific publications and client deliverables, conduct industry research, and support business expansion.
  • Manage junior staff and ensure quality control across engagement workstreams.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

Ph.D. or professional degree

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