The Senior Research Associate primarily provides collaborative biostatistics and data analysis support to investigators in the Longevity Consortium (LC), including analysis of proteomics data from human and animal experiments. Key responsibilities include management and processing of large omic data sets, application of appropriate statistical, bioinformatic and/or data science techniques, experimental design guidance, and assistance with manuscripts, reports and presentations.

This position involves significant interaction with the Longevity Consortium investigators at OHSU and other institutions, requiring excellent and effective oral and written communication skills. For example, the incumbent should be able to explain complex statistical concepts and results. The incumbent is expected to have strong data handling/programming skills, learn new statistical methods, and keep up with latest emerging methods, particularly as they apply to proteomics and systems biology.

The position reports directly to Dr. Jodi Lapidus, Professor, OHSU-PSU School of Public Health and Director, Biostatistics and Design Program (BDP).

1. Data analysis including data management, data visualization, statistical/bioinformatic analysis (i.e. proteomic data), generating reports, and assisting with manuscript preparation. These analyses will require extensive collaboration with investigators in Oregon and across the Longevity Consortium.
2. Contribute to discussion and decision on experimental design, data curation and analytical strategies with investigators in the Longevity Consortium.
3. Professional development including keeping up with current statistical/data science knowledge through study group meetings, seminars and professional conferences.

• Doctorate degree in relevant field (Biostatistics, Statistics, or equivalent); OR Master's degree in relevant field and 5 years of relevant work experience, OR Bachelors degree 9 years of relevant work experience.

• Demonstrated mature and effective interpersonal communications skills including tact, diplomacy and flexibility with appropriate demeanor to maintain good working relationships.

• Excellent interpersonal skills to interact with faculty and investigators, staff, students, and visitors at all levels within OHSU and in the community. The ability to forge and foster collaborative working relationships and enlist the support of faculty and staff.

• Effective oral and written communication skills.

• Ability to manage and perform multiple tasks under conditions of fluctuating workloads, competing requirements, and changing deadlines; working independently and following through on assignments with minimal direction.

• Ability to work in a complex environment.

• Discretionary judgment necessary to handle confidential matters.

• Ability to analyze problems and offer creative solutions, and implement changes.

• Strong time management and demonstrated capability to work on multiple projects at one time.

• Strong demonstrated organization skills, with the ability to understand overall program objectives and maintain attention to detail.

• Advanced degree and/or training in computational biology, bioinformatics, proteomics and/or genetics strongly desired.
• PhD preferred.

• Some collaborative research experience supporting investigators with study design and statistical analysis.

• Experienced user of statistical packages (R, Stata, SAS) and other programming languages (Python, etc).

• Scientific publication record.

• Experience developing new software modules for R.

• Project management experience

Travel on OHSU tram or to other OHSU sites may be required for meeting with investigators.

Working conditions:

Typical work schedule 8-5, Monday-Friday. Some occasional evening and weekend hours may be necessary.

Physical demands & equipment usage:

Travel on OHSU tram or to other OHSU sites may be required for a meeting with investigators located those sites.

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