Senior Biostatistics Researcher - Life Sciences

Oracle Life Sciences is seeking a Senior Biostatistics with a minimum of a Master’s degree to work alongside our Principal Investigators in leading and mentoring others in the completion of analytical components of research studies for our health outcomes projects. 

Our research help life science companies develop products that improve people’s lives and well-being. Our blend of consulting, data analytics, and real-world research and evidence enables clients to understand patients, physicians and payers, bring products to market quickly, navigate the regulatory pathway and negotiate payer reimbursement and coverage. 

Key Responsibilities

• Set and contribute to a positive working culture and environment that fosters a high level of productivity and efficiency, team collaboration and quality results that result in long-term client relationships
• Responsible for the leadership and development of research staff in the Health Outcomes, Real World Evidence team in the US 
• Consult with research teams in the development of study protocols and execution of statistical analysis plans.
• Assist with data cleaning and data management of various types of data, such as survey and claims/EHR data.
• Execute the statistical analysis of assigned projects.
• Contribute toward process improvements with respect to data management and analysis.
• Present analytical results to clients.
• Contribute to publications (e.g., posters, manuscripts) for the methods and results sections.
• Mentor staff on research-specific skills including, statistical analysis, analytical interpretation, report writing, statistical analysis plan writing, and supporting writing for publications for relevant sections
• Mentor staff on consulting skills including client engagement skills, proactive client consulting, and engagement-extension consulting
• Work closely and potentially oversee external partners
• Lead and oversee process improvements with respect to project management, knowledge sharing and quality control

Disclaimer:

Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $74,100 to $148,300 per annum. May be eligible for bonus and equity.


Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment.

• Master’s degree in Biostatistics or a related quantitative field required (PhD would be a plus).
• Must have at least 3 years health outcomes/RWE experience in the pharmaceutical industry (either pharmaceutical/biotech company or health outcomes consulting company)
• Must have independent research experience and a publication history (peer-reviewed manuscripts strongly preferred)
• Must have at least 5 years of knowledge of and experience working with statistical regression models, such as linear regression, logistic regression, generalized linear models, survival and longitudinal analysis.  
• Experience with non-parametric approaches data reduction techniques (e.g., factor analysis, SEM), model selection (e.g., LASSO), and machine-learning algorithms is desirable. 
• Must have experience with data management and analysis of large and complex datasets. 
• Experience in survey development, design, methods and data management for patient-reported outcome measures and validated instruments is desirable. 
• Knowledge and experience of working with medical and/or prescription claims data is desirable.
• Knowledge and experience of working with electronic health records (EHR) data is desirable. 
• Knowledge of development and validation techniques for scales (Classic Test Theory and IRT knowledge) and/or experience with patient preference studies (trade-off methods and DCE) is a plus. 
• Previous managerial experience preferred
• Advanced ability to program in SAS, R, SPSS, or Stata (working or advanced knowledge in 3+ of these highly desirable); experience in developing macros/functions.
• Ability to use SQL, Python, and/or other programming languages highly desirable.
• Experience using sample weights in analysis is desirable.
• Intellectual horsepower, with the ability to comfortably deal with complex concepts and a curiosity that drives exploration and learning of new methodological approaches and methods.
• Effective organizational and time management skills – orchestrating, multitasking, and prioritizing with a strong attention to detail to accomplish goals in an efficient manner. Able to work independently and a self-learner. 
• Proven ability to work on high functioning teams, building relationships and collaborating with local peers and virtual colleagues in support of business objectives.
• Excellent oral and written communication skills
• Proficiency in MS PowerPoint, MS Excel, MS Word