Statistical Analyst/Programmer

  • Full-Time
  • Boston, MA
  • Harvard University
  • Posted 2 years ago – Accepting applications
Job Description

Job Summary

The Center for Biostatistics in AIDS Research (CBAR), an organization within the Harvard T.H. Chan School of Public Health, is responsible for the design, monitoring and statistical analysis of clinical trials and observational studies for several major national and international NIH-funded clinical research networks. CBAR employs over 100 statisticians and epidemiologists including Harvard faculty, research scientists and staff. Investigators within CBAR have provided statistical leadership and support for clinical research networks for more than twenty five years. Currently this includes infectious disease networks such as: the AIDS Clinical Trials Network (ACTG), the International Maternal Pediatric Adolescent AIDS Clinical Trials Network (IMPAACT), the Pediatric HIV/AIDS Cohort Study (PHACS), and the Influenza Research Collaboration (IRC). Results from studies have helped to establish the paradigm for the treatment and prevention of HIV and other infectious diseases, and contributed to international treatment and prevention guidelines. CBAR is looking to hire a Statistical Analyst/Programmer for studies undertaken by the IMPAACT. This position is responsible for statistical analysis and programming support for clinical trials and observational studies, including all aspects of work from study development through monitoring; interim, primary and secondary analyses; and dissemination of results.

The Statistical Analyst/Programmer will work with study protocol teams to further the infectious diseases research mission of CBAR and collaborating researchers. Under guidance of a senior statistician/epidemiologist, duties include, but are not limited to: assisting with statistical analysis and programming activities for individual studies and cross-study efforts; providing statistical programming solutions and ensuring their efficient implementations under supervision and consistent with standard operation procedures; helping to determine and develop approaches to technical solutions; producing accurate and reliable results; maintaining awareness of and familiarity with various risks associated with a study and the impact on the quality of deliverables; managing timelines and scope based on resourcing and priority constraints; and building and maintaining effective working relationships with collaborating researchers and study team members.

Job-Specific Responsibilities

Additional duties and responsibilities include, but are not limited to, the following:
  • Support development of study case report forms and study registration/randomization materials
  • Undertake programming to create datasets for statistical analyses and document datasets
  • Assist with quality assurance of study data
  • Provide input into the statistical analysis plan and creation of table, figure, and listing specifications, collaborating with the lead biostatistician/epidemiologist in order to provide high quality statistical analyses
  • Undertake programming to create tables and figures for study monitoring and analysis reports, and to undertake statistical analyses to address study research questions
  • Assist with drafting of study analysis reports
  • Work on committees to advance statistical analysis and programming activities in CBAR
  • Other duties as assigned
CBAR provides a strong program for growth and professional development for Statistical Analyst/Programmers including a defined career path with opportunities to progress within our biostatistician or statistical programming career tracks.

Please attach the following when applying: 1) Resume, 2) Cover letter, 3) Sample of SAS code (solely created by the applicant), and 4) Names and email contact information for three (3) professional references.

PLEASE NOTE: This position has a term end date of November 30, 2027, with strong likelihood of extension. The primary work location for this position is Boston, MA and in order to be on Harvard payroll, you must reside in one of the following states – MA, NH, RI, ME, CT, VT, NY, or MD. We are also working primarily remotely at this time due to the COVID-19 pandemic. Until our return to campus, this interview process and position will be conducted virtually – including virtual interviews, remote onboarding, and remote work. The remote nature of this position is only temporary. Local, on-campus work will be required as a condition of continued employment once the School and this role return to an operational status that supports it. The Harvard T.H. Chan School of Public Health will support flexible work schedules upon this return, subject to individual departments’ business needs.

Basic Qualifications

  • 2+ years of related experience; a combination of experience and education may be considered

Additional Qualifications and Skills

The following job-specific skills and competencies are preferred:
  • Bachelor's Degree in a quantitative or scientific field, such as biostatistics or statistics, strongly preferred
  • Education or experience related to statistical software (such as SAS) for managing study data, preparing tables and figures for reports, and for statistical analysis
  • Knowledge of statistical and/or clinical trials
  • Experience programming in Linux, UNIX, or other high-level programming languages
  • Experience with data cleaning
  • Strong attention to detail, as well as a high level of self-motivation
  • Excellent written and oral communication skills
  • Strong deductive reasoning and organizational skills
The following cultural competencies are also preferred:
  • 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

Additional Information

Harvard University offers an outstanding benefits package including:
  • Time Off: 3-4 weeks paid vacation, paid holiday break, 12 paid sick days, 12+ paid holidays, and 3 paid personal days per year.
  • Medical/Dental/Vision: Excellent and affordable medical, dental & vision plans, with coverage beginning as of an employee's start date.
  • Retirement: University-funded retirement plan with full vesting after 3 years of service.
  • Tuition Assistance & Reimbursement Programs: $40 per class at the Harvard Extension School, discounted options through participating Harvard graduate schools, and reimbursement options for accredited schools outside of Harvard.
  • Transportation: 50% discount on MBTA passes, as well as additional options (rideshare, biking, etc.) to assist employees in their daily commute.
  • Wellness & Professional Development: Programs and classes at little or no cost, including stress management, hard & soft skills development, career planning, massages, nutrition, meditation, and complimentary health services. Additionally, access to Harvard athletic facilities, libraries, campus events - and many discounts for various cultural and leisure activities throughout metro Boston.
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. The O&R period will be waived for any internal Harvard employee transfers.
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The University requires all Harvard community members to be fully vaccinated against COVID-19 and remain up to date with COVID-19 vaccine boosters, as detailed in Harvard’s Vaccine & Booster Requirements. Individuals may claim exemption from the vaccine requirement for medical or religious reasons. More information regarding the University’s COVID vaccination requirement, exemptions, and verification of vaccination status may be found at the University’s “COVID-19 Vaccine Information” webpage.

Job Function

Information Technology

Location

USA - MA - Boston

Job Code

403123 Info Tech Support Associate II

Sub-Unit

-

Department

Center for Biostatistics in AIDS Research

Time Status

Full-time

Salary Grade

055

Union

55 - Hvd Union Cler & Tech Workers

Appointment End Date

30-Nov-2027

Pre-Employment Screening

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 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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