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RESEARCH ASSISTANT I

Research Assistant I / Day/ 40 Hrs Pharmacoepidemiology & Pharmacoeconomics, DOM - (3146795)  

GENERAL SUMMARY/ OVERVIEW STATEMENT:

Working under the direction of the Research Manager, Division Chief, and faculty of the Division of Pharmacoepidemiology and Pharmacoeconomics, the Research Assistant is responsible for the daily organization, coordination, and conduct of activities related to studies of the safe and effective use of medications in a variety of contexts. The Division’s research is neither clinical nor bench science, and is conducted in an office setting with minimal patient interaction. Please see division website for more information on faculty and research topics: http://www.drugepi.org/.

PRINCIPAL DUTIES AND RESPONSIBILITIES:

The typical Research Assistant’s duties are a combination of research and operational tasks Research tasks include, but are not limited to, data management and manipulation (MS Excel, MS Access, statistical software), data entry relevant to studies and monitoring, inquiries on various policy initiatives, performing literature searches, generating graphs, figures and presentations, gathering research materials for ongoing and future research projects,  (i.e. manuscript and grant proposal writing), conducting interviews, assisting with conducting trials,  and other duties as needed. Operational tasks ensure that the work in the entire Division as well as individual projects run efficiently.
 
These include a variety project and office management elements (scheduling, meeting organization, website and mailing list support, general office support, administrative support). Research Manager coordinates and monitors assignments.

Assigned projects will vary in type and amount of work required as well as duration; assignments can be individual or shared with other Research Assistants on the team. Teamwork is highly supported and encouraged.  Prospective start date is Summer 2021, and a requires a minimum two-year commitment.

Work environment:

Professional Office Environment, Business Casual. Working as part of a tight-knit group of hardworking friendly  people—an internationally acclaimed research unit of 22 Harvard faculty, 65 support staff, and 9 Programmers.

Employment at a Partners HealthCare System (“Partners”) affiliate is contingent upon:
- United States Citizenship and Immigration Services rules concerning identity and right to work in the United States
- Multi-state criminal background checks
- Pre-employment health and drug screening and annual compliance with the Influenza Vaccination Policy            
QUALIFICATIONS:

BA/BS required. Strong attention to detail and ability to manage multiple priorities is a must. Competency with MS Excel, MS Word, MS PowerPoint is required; familiarity with SAS, R and/or Tableau are a plus but NOT a requirement. Prior social science or medical research experience is preferred, and epidemiology and/or biostatistics exposure is a plus. A strong applicant will display the ability to communicate with multiple levels of staff and work effectively with others in a team environment.

SKILLS/ ABILITIES/ COMPETENCIES REQUIRED:
- BA/BS degree
-Competency with MS Word, MS Excel, MS PowerPoint
-Familiarity with SAS, R, Python, SQL and/or Tableau is a plus but not required
- Ability to adapt to a fast-paced environment and learn quickly
- Teamwork and cooperation
- Attention to detail and excellent organizational skills
- Ability to manage multiple priorities
- Ability to use independent judgment
- Excellent communication and interpersonal skills, telephone and email etiquette          

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

Primary Location: MA-Boston-BWH Boston Main Campus
Work Locations: BWH Boston Main Campus 75 Francis St  Boston 02115
Job: Research - Other
Organization: Brigham & Women's Hospital(BWH)
Schedule: Full-time
Standard Hours: 40
Shift: Day Job
Posted Shift Description: Day / 40 hrs
Employee Status: Regular
Recruiting Department: BWH Department Of Medicine / Pharmocoepidemiology

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Research Scientist:

Research Specialist / Day/ 40 Hrs Pharmacoepidemiology & Pharmacoeconomics, DOM - (3151393)  

GENERAL SUMMARY/ OVERVIEW STATEMENT:

Functioning under the direction of the principal investigators and other faculty members, the Research Specialist works independently to conduct high level, complex research study design and analysis in the areas of pharmacoepidemiology, epidemiology/biostatistics, and analytic methods. Contributes to scientific literature, reports, journals, manuscripts (including co-authorship as appropriate), presentations, and grant writing.

PRINCIPAL DUTIES AND RESPONSIBILITIES:

Under the direction of principal investigators, assists in the designing, planning, and execution of analyses of therapeutic outcomes and adverse effects of drugs and other medical interventions, as well as simulation studies evaluating epidemiologic methods and validation studies in claims data; applying skills in biostatistics, epidemiologic methods, and health services research. Serves as an integral part of the research team, helps to analyze and interpret data findings, prepare summaries, reports and presentations based on analysis and results.

The Research Specialist will also help oversee large prospective quality improvement trials being conducted to improve long-term medication adherence and health outcomes. The Research Specialist will work with the principal investigators to review available clinical evidence. Contributes to the scientific literature through oral and poster presentations and published manuscripts. Assists with grant proposals and project management, as needed.

Specific duties include:
1. Researches, develops, designs and executes and interprets research data
2. Contributes to interpretation of research data and results
3. Contributes to scientific literature, journals, and oral presentations
4. Participate in study design and protocol development
5. Participate in Institutional Review Board (IRB) submission process for new research protocols
6. Take part in design and writing of grant proposals and grant material
7. Compose and present sections of research reports and manuscripts
8. Perform advanced data analysis, working closely with the Principal Investigator and other researchers
9. Performs other duties as assigned

• MS or equivalent degree in Epidemiology, Biostatistics, or related field; emphasis on methods and or pharmaco-epidemiology preferred; healthcare-related doctoral degree a plus
• Ideally 2 years of relevant experience
• Excellent knowledge of epidemiologic methods; focus on Pharmacoepidemiology desirable
• Experience in research using large claims databases
• Experience in collaborative projects with clinical medicine is preferred
• Knowledge and skills in the critical appraisal of research evidence are highly desired
• Background in pharmaceuticals is advantageous

SKILLS/ ABILITIES/ COMPETENCIES REQUIRED:

The successful candidate will have very good methodologic and analytic skills in epidemiology to help implement these research projects, with knowledge of pharmacoepidemiology an added advantage. The study of large longitudinal claims data and the analysis of correlated discrete data structures requires experience and substantial skills in this research. The candidate must have the abilities to independently design and analyze complex epidemiologic claims data analyses, to perform major database manipulation and statistical analyses in SAS or other statistical package, and to draft study reports for funding agencies. Strong time management/organizational skills as well as written and verbal presentational skills are necessary. An understanding of clinical medicine is an advantage but not required. Familiarity with pharmaceuticals is desirable.        

WORKING CONDITIONS:
Professional Office Environment, Business Casual. Working in a close-knit, friendly and helpful & internationally known research unit of 20+ Harvard faculty and 40 support staff.

SUPERVISORY RESPONSIBILITY: None
FISCAL RESPONSIBILITY: None

EEO Statement:
Brigham and Women's Hospital (BWH) complies with applicable Federal civil rights laws and does not discriminate on the basis of race, color, national origin, citizenship, alienage, religion, creed, sex, sexual orientation, gender identity, age, or disability. BWH does not exclude people or treat them differently because of race, color, national origin, citizenship, religion, creed, sex, sexual orientation, gender identity, age or disability.

Primary Location: MA-Boston-BWH Boston Main Campus
Work Locations: BWH Boston Main Campus 75 Francis St  Boston 02115
Job: Research - Other
Organization: Brigham & Women's Hospital(BWH)
Schedule: Full-time
Standard Hours: 40
Shift: Day Job
Posted Shift Description: Day / 40 hrs
Employee Status: Regular
Recruiting Department: BWH Department Of Medicine / Pharmocoepidemiology

Apply Here

Project Coordinator:

Project Coordinator / SENTINEL / Div. Pharmacoepidemiology - (3152337)  

GENERAL SUMMARY/ OVERVIEW STATEMENT:

The Division of Pharmacoepidemiology and Pharmacoeconomics has a unique and tight-knit culture where individuals are valued for their contributions. The Division is made-up of competent individuals, friendly and hard-working.  Our mission is to innovate effective medication treatment through evidence generation, evidence translation, and implementations science.  The Project Coordinator (PC) will provide ongoing infrastructure support for the new US Food and Drug Administration (FDA)-funded Sentinel Innovation Center and will be a critical part of the Division.      

Working under the direction of the Program Manager and working closely with the Operations Chief of Sentinel Innovation Center at the BWH Department of Medicine, the Project coordinator is responsible for the overall organization, coordination, and management of activities related to Sentinel Innovation Center projects. Please see Sentinel Initiative website for more information on ongoing projects: https://www.sentinelinitiative.org/.

PRINCIPAL DUTIES AND RESPONSIBILITIES:

The project coordinator will have the opportunity to be involved in day-to-day operations of multiple Sentinel Innovation center projects focusing on data infrastructure, causal inference, feature engineering, and detection analytics. The successful candidate will be expected to maintain a clear communication channel with study teams and various stakeholders, complete progress reports, assist investigators with adhering to deliverable schedules, and coordinate project teams.

Specific tasks and responsibilities include the following:

  • Coordinate Sentinel Innovation Center projects throughout the project life-cycle
  • Manage project-related paperwork by ensuring all necessary materials are current, properly filed and stored
  • Manage project schedules and new information
  • Ensure meeting notes are clear and comprehensive
  • Coordinate all team members to keep workflow on track
  • Work closely with multiple study teams on different projects
  • Processing and maintaining meticulous records of Sentinel Innovation center projects
  • Serve as the point of contact, to track, monitor and review all project tasks in detail
  • Co-ordinate tasks by working closely with stakeholders, workgroup members, FDA personnel, and division faculty
  • Must be able to work on own initiative, independently, and to deadlines

WORKING CONDITIONS:

Business casual office environment with hard-working, friendly, & helpful  people / remote participation

QUALIFICATIONS:

Bachelor’s degree and ideally 2 - 3 years of hands on project coordination experience. Position requires demonstrated experience and competence in managing complex projects, as well as the demonstrated ability to communicate with multiple levels of staff and to work effectively with others and meet deadlines. We are looking for a very well-organized person. Excellent written and verbal communication skills, strong attention to detail, and ability to manage multiple priorities essential.

EEO Statement:
As an equal opportunity employer, Brigham and Women's Hospital is also committed to a diverse workforce. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants that require accommodation in the job application process may contact Human Resources at (617) 582-0100.

Primary Location: MA-Boston-BWH Boston Main Campus
Work Locations: BWH Boston Main Campus 75 Francis St  Boston 02115
Job: Professional/Managerial
Organization: Brigham & Women's Hospital(BWH)
Schedule: Full-time
Standard Hours: 40
Shift: Day Job
Posted Shift Description: Day / 40 hrs
Employee Status: Regular
Recruiting Department: BWH Department Of Medicine / Pharmacoepidemiology

Apply Here



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Post-doctoral Fellowships in Pharmacoepidemiology:

Sebastian Schneeweiss, MD, MS, ScD
Chief, Division of Pharmacoepidemiology and Pharmacoeconomics
Professor of Medicine, Harvard Medical School
Professor in Epidemiology, Harvard Chan School of Public Health


Department of Medicine
Brigham and Women’s Hospital
1 Brigham Circle, Suite 3030, Boston, MA 02120
P: 617 278-0930 M: 617331-2632
sschneeweiss@bwh.harvard.edu
www.DrugEpi.org

April 5, 2021

The Division of Pharmacoepidemiology and Pharmacoeconomics at Brigham and Women’s Hospital Department of Medicine and Harvard Medical School is accepting applications for multiple post-doctoral fellowships in pharmacoepidemiology both in applied or methodologically focused research. 

The Division includes 25 faculty (drugepi.org/dope/team) and 75 staff who work closely together to research how we use medications effectively and improve health. We are a world-leading interdisciplinary research center that brings together the various specialties of medicine, epidemiology, biostatistics, health services research, legal, regulatory and the social sciences to evaluate the effectiveness of prescription drugs in relation to their risks and costs; to study how medications are prescribed and used; to develop methods to optimize prescription drug use; to understand how medicines are approved and regulated after their marketing. The Division is a first-rank training site for graduate students and fellows in a variety of subject areas and methodological research. We are seeking one or more self-motivated, diligent, and independent fellows to work with Division faculty in one or more of the following areas: 

  • Developing and implementing cutting-edge methods to bridge the gap between randomized clinical trials (RCTs) and real-world evidence (RWE): RCTs and RWE are critical and complementary sources of evidence generation about the benefits and safety of medical products. A fellow working in this area will be involved in several interrelated projects that will leverage individual-level RCT data to explore this complementarity and will be expected to explore and test novel analytical approaches for analysis of RCT and real-world data. Training and experience in statistical modeling and programing is required. Experience with developing prediction models, model validation and calibration approaches, imputation methods, Monte Carlo simulations, and machine learning algorithms is highly desirable. 
  • Answering high-impact questions to inform clinical decision making on the comparative effectiveness and safety of medications in cardio-metabolic and renal conditions by applying and advancing cutting edge methods: A fellow working in this area will collaborate closely with Division faculty who are leaders in the pharmacoepidemiology of cardio-metabolic and renal diseases to answer critical clinical questions on the use of medications and their comparative effectiveness and safety leveraging real-world data, including administrative claims, electronic health records, and clinical registries. Fellows will have the opportunity to lead several important research studies. The ideal candidate would be a team player and have a doctoral degree in pharmacoepidemiology and ideally a clinical background, or a degree in medicine combined with pharmacoepidemiology/ epidemiology training. 
  • Developing cutting edge tools that improve causal inference by incorporating machine learning and deep learning methods using electronic health records (EHRs) and claims data: A fellow working in this area will lead a series of studies aimed at expanding the capacity of machine learning methods to make causal inference in comparative effectiveness research in a semi-automated and data-adaptive fashion. Division faculty have access to multiple large-scale datasets that link longitudinal claims data with EHR data, including both structured data and free-text clinical notes and reports. Opportunities for both methodological and applied epidemiological research are available. Specific topic areas include, but are not limited to: data-adaptive high-dimensional causal inference analytics applying machine learning and deep learning methods to claims and EHR data; and natural language processing of unstructured data for confounding adjustment, risk profiling, and patient phenotyping. 
  • Advancing and applying innovative methods for studying outcomes of drug-drug interactions in electronic healthcare data: Division members are actively working on methodological and substantive studies to advance evidence generation related to clinical outcomes of drug-drug interactions. Methodological work includes both innovative large-scale screening approaches and improvements in study design as applied to drug-drug interactions. Current applied work focuses on drug interactions with opioids as well as other substantive clinical areas, such as diabetes. The ideal candidate would have a doctoral degree in pharmacoepidemiology and ideally a clinical background, or a degree in pharmacy or medicine combined with pharmacoepidemiology/epidemiology training. 
  • Identifying risk factors that contribute to increased risk of opioid-related adverse events among older adults: Older adults are at high risk of opioid-related emergency visits and hospitalizations even when they use opioids as prescribed. A fellow working in this area will lead a series of studies aimed at identifying non-opioid medications that could be contributing to increased risk of opioid overdose and other opioid-related adverse events in geriatric population, using health insurance claims data (Medicare and commercial insurance databases) and advanced pharmacoepi methods. Opportunities to work with EHR data and for methodological research in this area will be available. The ideal candidate would have a doctoral degree in pharmacoepidemiology; training and experience in statistical modeling and programing is required. 

If you are interested in this opportunity or have any questions, contact Lewis Seton at lseton@bwh.harvard.edu.