Data Research Assistant

11095


Data Research Assistant 

Harvard Medical School 

66593BR 


Position Description 

A large research study (“The Football Players Health Study at Harvard University”) was initiated in 2014 to evaluate and improve the health and wellbeing of former professional football players. The Study is funded by the NFL Players Association (NFLPA) and is one of the largest sports research projects ever undertaken. The Study is researching medical conditions that affect the quality and longevity of life of football players and working to identify and prioritize promising new approaches to prevent, diagnose and treat those conditions that afflict them. The Study strives to meet its aims by collecting data directly from players and by supporting innovative research. The research program sits within Harvard Catalyst | The Harvard Clinical and Translational Science Center.


This position is responsible for supporting staff in the day-to-day clinical research activities, working closely with the Data Management team, and other team that needs help in activities related to data management.

  • Provide research assistant support for staff in the execution of one or more research studies from study start-up through execution to completion.
  • Support the Analysis Proposal Portal, coordinating submission review and follow-up, updating the documentation, and tracking manuscript development.
  • Assist in tracking and maintaining the status of active protocols, study forms, training documentation, and additional research support materials.
  • Assist staff in the development and execution of data intake forms in REDCap and coordination of study related events such as being involved in recruitment like cold calls and screeners.
  • Assist in troubleshooting any technical issues that FPHS internal/external users might face while accessing various FPHS systems.
  • Assist in being an admin of various FPHS systems, and work closely with other FPHS data/tech team members to support upgrades.
  • Assist with creating algorithms in plain English or pseudo code, and data review for quality and completeness.
  • Assist with data cleaning and verification of large datasets.
  • Support the preparation of reports, presentations, tracking documents, and other materials for internal and external purposes.
  • Perform necessary literature reviews and obtain background materials pertinent to research areas.
  • Demonstrate and maintain compliance with research policies ICH-GCP and federal regulations.
  • Contribute to the Study’s goals by accomplishing related duties as required which could be supporting in new research projects such as the Mini In Person Assessments, Health Biodata Initiative, Early Aging and PRESS or any other new projects that get initiated as part of the continuation for FPHS study.


Basic Qualifications

  • College background or equivalent experience.
  • At least one year related work experience (relevant course work may count towards experience)


Additional Qualifications and Skills

  • Bachelor’s degree preferred
  • Experience in a research environment a plus.
  • Interest in data analysis a plus
  • Excellent organizational skills
  • Strong interpersonal skills
  • Ability to work independently with minimal supervision
  • Ability to work as part of a diverse team in a fast-paced environment
  • Ability to prioritize tasks
  • Excellent writing and communication skills


Additional Information

This is a term appointment, with an end date of June 27, 2027, with the possibility of renewal contingent on funding.

The health of our workforce is a priority for Harvard University. With that in mind, we strongly encourage all employees to be up-to-date on CDC-recommended vaccines.

Please note that we are currently conducting a majority of interviews and onboarding remotely and virtually. We appreciate your understanding.

The Harvard Medical School is not able to provide visa sponsorship for this position.

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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.


Job Function

Research


Job Code

403109 Research Assistant I Non-Lab


Sub-Unit

——————


Department

Clinical and Translational Science Center


Time Status

Full-time


Schedule

35 hrs. per week | Monday - Friday | 9:00 am - 5:00 pm

———————


Department Office Location

USA - MA - Boston


Work Format

Hybrid (partially on-site, partially remote)


Salary Grade

052


Union

55 - Hvd Union Cler & Tech Workers


Pre-Employment Screening

Identity


 

Commitment to Equity, Diversity, Inclusion, and Belonging

We are committed to cultivating an inclusive workplace culture of faculty, staff, and students with diverse backgrounds, styles, abilities, and motivations. We appreciate and leverage the capabilities, insights, and ideas of all individuals. Harvard Medical School Mission and Community Values

https://hms.harvard.edu/about-hms/campus-culture/mission-community-values-diversity-statement


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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#LI-WG1


11096




Harvard Medical School



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No deadline
Location: United States of America, Boston
Categories: Data analysis, Data Science, Medical Sciences, Medicine, Research Assistant, research data,

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