Biostatistician/Manager of Statistical Training

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 60 statisticians and epidemiologists including Harvard faculty, research scientists, and staff. Investigators within CBAR have provided statistical leadership and support for clinical research networks for thirty-five years. Currently this includes infectious disease networks such as: Advancing Clinical Therapeutics Globally for HIV/AIDS and Other Infections (ACTG) and the International Maternal Pediatric Adolescent AIDS Clinical Trials Network (IMPAACT). 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 has a hybrid work environment which includes a combination of on-campus/in-person work and remote work. This position is located in the Center for Biostatistics in AIDS Research (CBAR) within the Harvard T.H. Chan School of Public Health in Boston, Massachusetts. Since 1989, CBAR and the Harvard T.H. Chan School of Public Health have provided a strong program for growth and professional development for its research staff – including a defined career path and opportunities for continuing education and attendance of professional meetings. Job Responsibilities The Center for Biostatistics in AIDS Research (CBAR) is actively recruiting a Biostatistician/Manager of Statistical Training to act as a protocol statistician and will collaborate directly with medical researchers, senior statisticians, and epidemiologists on national and international infectious diseases clinical trials and observational studies. The primary focus will be on studies undertaken by IMPAACT. Duties include, but are not limited to, clinical trial and observational study review; data collection forms design and review; stratification/randomization of studies; statistical programming; data analysis and monitoring; and report writing under the mentorship and supervision of senior staff. This position will also serve on internal CBAR committees. Supervisory Responsibilities (50% of time) Guidance, training, and review of supervisee’s assigned work Communication with each senior statistician on specifics of the work assigned Attend meetings between senior statistician and supervisee as needed Provide training in the context of assigned tasks Review of supervisee’s programs, output, and draft reports as needed Meet with supervisees at least weekly and as needed to ensure their work proceeds efficiently Identify areas for training and provide the training or refer to Training Committee and other resources for assistance Work with Training Committee to identify where more central training is needed Coordinate work load/priorities for supervisees with section/project leadership Complete annual performance reviews of supervisees Take lead on career advancement decisions for supervisees Biostatistician Responsibilities Clinical and observational study development and review Forms design and review SDTM modeling Study monitoring Development of analysis plans Development of ADaM analysis datasets, programming, analysis, and report writing The Biostatistician/Manager of Statistical Training will also perform other duties as assigned. PLEASE NOTE: This position has a term end date of November 30, 2027, with strong likelihood of extension. Qualifications Basic Qualifications: Master's Degree in Biostatistics, Statistics, or a closely-related field required 5+ years of related experience required Experience with statistical software (such as SAS, R, Stata, etc.) required Additional Qualifications and Skills: Two-year Master's Degree (MA/MS) program Prior supervisory experience Statistical experience with multi-center clinical trials, or equivalent collaborative statistical experience Highly specialized and technical knowledge of statistical analysis and principles including categorical data and censored failure time data analysis Advanced computer skills and experience with major statistical computing packages preferred. Experience with MS Office Word, Excel and PowerPoint Experience with independently analyzing data from clinical trials using statistical techniques Experience contributing to the writing of manuscripts, abstracts, and other publications documenting study findings Experience in effectively collaborating with study chairs, medical officers, protocol specialists and database managers Familiarity with medical terminology Strong attention to detail, strong organizational skills, and strong written and verbal communication skills Additional Information Appointment End Date: November 30, 2027 Standard Hours/Schedule: 35 hours per week Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position Pre-Employment Screening: Identity, Education Benefits Generous paid time off including parental leave Medical, dental, and vision health insurance coverage starting on day one Retirement plans with university contributions Wellbeing and mental health resources Support for families and caregivers Professional development opportunities including tuition assistance and reimbursement Commuter benefits, discounts and campus perks Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to: EEO/Non-Discrimination Commitment Statement Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes. Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy. Harvard's equal employment opportunity and non-discrimination policy helps all community members participate fully in work and campus life free from harassment and discrimination. #J-18808-Ljbffr Harvard University