Research Associate I - Patient Preference

Summary

Thermo Fisher Scientific is seeking a Research Associate I to support patient preference research and advance the incorporation of patient preferences into health-care decision making. The role involves literature reviews, preference instrument development, patient and physician interviews, qualitative data analysis, client deliverables, vendor coordination, and participation in client meetings and workshops.

Responsibilities

• Performing background and literature reviews
• Assisting development of preference elicitation instruments
• Interviewing patients and physicians
• Analyzing qualitative data using appropriate software
• User acceptance testing of data collection instruments (e.g. patient preference surveys)
• Supporting development of client deliverables such as slide decks and reports
• Communication with and management of vendors and research partners such as clinical sites and patient advocacy groups
• Attending client meetings and workshops

Skills

• Master's Degree in a quantitative discipline and at least one year of relevant job experience
• Bachelor's Degree in a quantitative discipline and at least 2-3 years of relevant job experience
• Experience with primary data collection from patients (qualitative or quantitative)
• Understanding of preference elicitation techniques, such as discrete choice experiments (DCE), best-worst scaling (BWS), or MCDA swing weighting
• Proficient with MS Office software (Excel, Word and PowerPoint)
• Strong analytical and problem-solving skills
• Collaborative team member, capable of efficient multi-tasking
• Excellent verbal and written communication skills
• Drive and ambition to succeed in a consultancy
• Confident, comfortable in taking initiative and an ability to work without close supervision
• The ability and desire to learn quickly, be it methodological or industry developments
• Attention to detail
• Travel 10–30% of the time
• Ideally experience with a statistical programming language such as STATA, SAS, MATLAB or R (preferred but not required)
• Ideally experience with ATLAS.ti (preferred but not required)

Qualifications

Must Haves

• Master's Degree in a quantitative discipline and at least one year of relevant job experience
• Bachelor's Degree in a quantitative discipline and at least 2-3 years of relevant job experience
• Experience with primary data collection from patients (qualitative or quantitative)
• Understanding of preference elicitation techniques, such as discrete choice experiments (DCE), best-worst scaling (BWS), or MCDA swing weighting
• Proficient with MS Office software (Excel, Word and PowerPoint)
• Strong analytical and problem-solving skills
• Collaborative team member, capable of efficient multi-tasking
• Excellent verbal and written communication skills
• Drive and ambition to succeed in a consultancy
• Confident, comfortable in taking initiative and an ability to work without close supervision
• The ability and desire to learn quickly, be it methodological or industry developments
• Attention to detail
• Travel 10–30% of the time

Nice to Haves

• Ideally experience with a statistical programming language such as STATA, SAS, MATLAB or R (preferred but not required)
• Ideally experience with ATLAS.ti (preferred but not required)

Benefits

• A choice of national medical and dental plans, and a national vision plan, including health incentive programs
• Employee assistance and family support programs, including commuter benefits and tuition reimbursement
• At least 120 hours paid time off (PTO)
• 10 paid holidays annually
• Paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave)
• Accident and life insurance, and short- and long-term disability in accordance with company policy
• Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
• Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount
• Variable annual bonus based on company, team, and/or individual performance results in accordance with company policy
• Remote work arrangement