RESEARCH SCIENTIST (PROJECT/TEMPORARY)

Full-time - Mid Level

Seattle, WA

Ambulatory Health Care Services

About the position

The Institute for Health Metrics and Evaluation (IHME) is an independent research organization at the University of Washington (UW). Its mission is to deliver to the world timely, relevant, and scientifically valid evidence to improve health policy and practice. IHME carries out its mission through a range of projects within different research areas including the Global Burden of Diseases (GBD), Injuries, and Risk Factors; Future Health Scenarios; Cost Effectiveness and Efficiency; Resource Tracking; and Impact Evaluations. IHME is committed to providing the evidence base necessary to help solve the world's most important health problems. This requires creativity and innovation, which are cultivated by an inclusive, diverse, and equitable environment that respects and appreciates differences, embraces collaboration, and invites the voices of all IHME team members. IHME has an outstanding opportunity for a Temporary Research Scientist on the Malaria, Anemia, Vaccines, Hemoglobin, and Neglected Tropical Diseases Team. As a Research Scientist, you will be contributing to research design and training, leading, and/or mentoring junior staff. IHME researchers analyze and produce key estimates for their assigned research team and will assess all available relevant quantitative data - including those on causes of death, epidemiology, and a range of determinants such as education and income - from surveys, vital registration, censuses, literature, registries, and administrative records. The Research Scientist will manage estimation of health burden for the GBD study for a portfolio of neglected tropical diseases (NTDs), likely to include guinea worm, schistosomiasis, cutaneous and visceral leishmaniasis, Ebola, rabies, onchocerciasis, and soil-transmitted helminths. The person in this position will be responsible for executing, updating, and improving existing disease models; critically appraising and overseeing the incorporation of new data sources; and developing innovative new methods to enhance the understanding of the burden of each of these neglected diseases. You will be integrally involved in producing, critiquing, improving, and disseminating results. You are someone who is capable of keeping your team on track to meet deadlines and research objectives. You already have a publication record, and at IHME, you will build out your portfolio with several peer-reviewed papers. You thrive in a collaborative work environment and are capable of working on multiple projects concurrently while meeting deadlines. You keep current of recent scientific, engineering, and technical advances and are able to translate these into your research. This position is contingent on project funding.

Responsibilities

• Exhibit command of one or more of the research areas at IHME relevant to NTDs, including the methodology and its components.
• Independently carry out quantitative analyses and participate in reciprocal research projects. Interpret and vet results from junior staff, formulate conclusions, and inform team leaders.
• Develop, quality check, and distribute complex datasets to be used in epidemiological and statistical analyses.
• Develop and implement new computational and statistical methods. Create, test, and use relevant computer code (R, Python, SQL, or equivalent).
• Maintain, modify, and execute analytic machinery that generates results.
• Draft presentations and manuscripts and contribute to funding proposals.
• Lead and co-author scientific articles in peer-reviewed journals.
• Maintain scientific awareness and intellectual agility with data, methods, and analytic techniques.
• May lead and/or mentor junior staff.
• Provide ideas and content for the development of internal trainings. Teach established trainings.
• Contribute to research design.
• Other duties as assigned that fall within reasonable scope of research team.

Requirements

• Master's degree in public health, epidemiology, statistics, biostatistics, math, economics, quantitative social sciences, or related discipline plus four years' related experience, or equivalent combination of education and experience.
• Excellent analytic, critical thinking, and quantitative skills.
• Results- and detail-oriented individual who can initiate and complete tasks under tight deadlines and changing priorities both independently and in a team environment. Flexibility with hours and workload is key.
• Experience devising and executing statistical modeling techniques.
• Demonstrated ability to quickly recognize problems in results and identify root causes in data, methods, and code.
• Ease in designing, executing, and troubleshooting code in one or more languages (e.g., R (strongly preferred) or Python).
• Excellent written and oral communication skills required, including track record of success in coauthorship on multiple scientific papers, presenting results, and representing research at meetings.
• Demonstrated ability to contribute to and sustain collaborations with external research teams.
• Experience in working with large data sets, including devising strategies for reliable data management for large data sets, computationally efficient modeling techniques to use such data sets, and critical evaluation of highly multidimensional model outputs that result from such work.
• Ability to work both independently and in collaboration with a team.
• A long-term interest in a research scientist position contributing to the overall mission of our research.
• A commitment to working alongside others at IHME to illuminate the health impacts of systemic racism and to work within IHME to make our organization more diverse and inclusive.

Nice-to-haves

• MD or PhD in public health, epidemiology, statistics, biostatistics, math, economics, or quantitative social sciences plus two years' experience preferred.
• Specific subject matter expertise in NTDs, technical experience in modeling of NTD epidemiology, and experience in the estimation of disease burden.
• Experience with machine learning, data mining, and analytic techniques.
• Experience mentoring and developing junior employees on soft and technical skills.
• Experience with project management methods.
• Peer-reviewed publication record.

Benefits

• Generous benefits and work/life programs.
• Professional growth opportunities.
• Unique resources in an environment noted for diversity, intellectual excitement, artistic pursuits, and natural beauty.