Biostatistician I

20-Feb-2024

Harvard T.H. Chan School of Public Health

65101BR

Job Summary

The Department of Biostatistics is a very busy and diverse department focused on research and teaching. Our 70+ faculty are leaders in the development of statistical methods for clinical trials and observational studies, studies on the environment, computational biology, and genomics/genetics. We offer degree programs in biostatistics, computational biology and data science; currently, more than 200 students are enrolled in these programs.

Our team invites applications for a Biostatistician position in the BayesMendel group (https://projects.iq.harvard.edu/bayesmendel/ ). The position will be under the supervision of Principal Research Scientist, Dr. Danielle Braun. The research focus will be on cancer prevention, cancer screening, cancer risk prediction models, genetic epidemiology, clinical decision support tool development, and implementation studies evaluating the effectiveness of various intervections. Including the statistical analysis of cohort data and design and analysis of randomized control trials.

Position Description

The Biostatistician will work under nominal direction to perform a variety of research and quantitative statistical analysis tasks independently, and in support of the lab’s research programs. The ideal candidate has experience supporting complex scientific research programs involving multiple studies, grants, and collaborators.

Duties and responsibilities include, but are not limited to, the following:

• Conduct statistical analysis; apply statistical methods to answer a broad range of questions, write and lead manuscripts
• Assist lab members in conducting specific research projects including but not limited to processing and curating data, conducting statistical analysis, literature review, and revising and editing manuscripts to respond to reviewer comments
• Develop early-stage statistical research projects and assist in developing projects in collaboration with potential students and other collaborators
• Develop statistical methods and software
• Explore funding ideas and identify specific research gaps that funding proposals could address, and help support grant submissions
• Lead individual and collaborative data analysis projects and conduct preliminary data analysis for funding proposals Serve as principal liaison to disseminate the group’s findings on specific research projects
• Organize and schedule research meetings Help facilitate IRB and DUA submissions
• Manage scientific research activities, including detailed to do lists, action items between the lab and funded collaborations with other labs (internal to Harvard and external)
• Perform other duties as assigned

Basic Qualifications

• Master's Degree in Biostatistics, Statistics, or a closely-related field required
• Experience in R required

Additional Qualifications and Skills

The following job-specific skills and competencies are preferred:

• Master's degree biostatistics, statistics, epidemiology, or closely related field
• Experience in statistics and completion of a master level biostatistics/statistics course curriculum
• Experience in public health, environmental health, and providing research support in a high-profile environment with tact and diplomacy
• Strong writing skills (for leading and participation in writing scientific publications) Experience with GitHub
• Experience in Python
• Solid working knowledge of office processes and related computer software (such as Microsoft Office and web-based applications) and electronic communications tools
• Familiarity with Markdown, and experience with computing cluster environments
• Experience with computing cluster environments, experience with R, python, and GitHub, experience running statistical analysis in R and python
• Experience being a flexible team player
• Strong communication and interpersonal skills
• Works well across teams in supporting a variety of projects and constituencies Experience working in a fast-paced environment with multiple priorities Strong organizational skills
• Strong attention to detail and quality Strong quantitative and statistical skills
• Strong judgement and discretion dealing with confidential information
  

• Awareness of and aptitude to appropriately and effectively understand, respect, and adapt to cultural and identity-based difference within group environments
• Knowledge of and commitment to concepts and issues tied to social justice, diversity, equity, and inclusion
• Skills related to creating and supporting an environment that allows for inclusion, effective intercultural engagement, and personal humility and authenticity
• Experience fostering and reinforcing an environment that values unique experiences, cultures, backgrounds, and goals

Working Conditions

PLEASE NOTE: This is a hybrid position and this position will be based in Boston, MA. Additional detail pertaining to this position will be discussed during the interview process. All remote work must be performed in a state in which Harvard is registered to do business (Connecticut, Massachusetts, Maryland, Maine, New Hampshire, New York, Rhode Island, Vermont, California (exempt staff only), Georgia, Illinois, New Jersey, Virginia, and Washington).

Additional Information

Join the Harvard T.H. Chan School of Public Health to support our mission of health research and education, and to be a part of the oldest institution of higher learning in the country!

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• The Harvard T.H. Chan School of Public Health does not provide visa sponsorship, now or in the future, for staff positions.
• Harvard University requires pre-employment reference checks and background screenings.
• This position has a 90 day orientation and review period.

Work Format Details

This is a hybrid position that is based in Massachusetts. Additional details will be discussed during the interview process. All remote work must be performed within one of the Harvard Registered Payroll States, which currently includes Massachusetts, Connecticut, Maine, New Hampshire, Rhode Island, Vermont, Georgia, Illinois, Maryland, New Jersey, New York, Virginia, Washington, and California (CA for exempt positions only). Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.

Benefits

We invite you to visit Harvard's Total Rewards website (https://hr.harvard.edu/totalrewards ) to learn more about our outstanding benefits package, which may include:

• Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.
• Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.
• Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.
• Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.
• Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.
• Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.
• Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.
• Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.
• Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.

Department Office Location

USA - MA - Boston

Job Code

RS0356 Statistician I

Work Format

Hybrid (partially on-site, partially remote)

Union

00 - Non Union, Exempt or Temporary

Pre-Employment Screening

Education, Identity

Commitment to Equity, Diversity, Inclusion, and Belonging

At the Harvard T.H. Chan School of Public Health, we believe that diversity is integral to the Harvard experience and our mission of improving public health education, research and policy. Diversity of cultural backgrounds, identities, lived experiences, perspectives, and ways of understanding the world enriches our community and enables us to best meet the public health needs of the United States and the world. Ongoing learning and development related to diversity allows for both individual and institutional growth, and is necessary to foster and sustain a culture of inclusion. To achieve this, we are committed to ensuring equitable access to opportunities for learning, living, and working at the Harvard Chan School. We maintain an unwavering dedication to diversity, inclusion, and belonging as core to our institutional values and to actively counter, minimize, and address racism, sexism, xenophobia, homophobia, gender bias, and all forms of discrimination.

Learn more about the School’s mission, objectives, and core values , our Principles of Citizenship , and our diversity, inclusion, and belonging initiatives.

EEO Statement

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.

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