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Inside Higher Ed · 1 week ago

Clinical Research Epidemiologist 1

Palo Alto, CA

Full-time

Hybrid

Mid Level

$91K/yr - $100K/yr

4+ years exp

Inside Higher Ed is seeking a Clinical Research Epidemiologist I to join the Stanford Department of Pediatrics. The role involves developing and administering research strategies, conducting data analyses, and collaborating with various stakeholders to enhance understanding of illness and improve patient care.

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Responsibilities

Oversee and administer research activities by evaluating academic programs, making recommendations that impact policies and programs, and coordinating and implementing changes

Collect and analyze data, create reports, review and explain trends to determine program effectiveness; formulate and evaluate alternative solutions and/or recommendations to achieve the goals of the program

Write and edit content for proposals, peer-reviewed publications, and other program activities under the general direction of PI. Assist with the development of research grants, (i.e., may suggest new funding opportunities, write portions of grants, and/or summarize data for grant support)

Represent the program or function as the key contact and subject matter expert within the department, unit or school and develop communications for internal and external constituencies. Organize and/or participate in outreach activities such as events, partnerships, fundraising, training, and conferences. Lead workshops and facilitate meetings

Monitor expenses, budgets, and finances of the program. Make recommendations on funding based on program spend

May oversee and train student workers and junior research staff

Qualification

Clinical EpidemiologyStatistical AnalysisRelational DatabasesBiostatisticsData ScienceSQLSASProblem-SolvingCritical ThinkingAttention to DetailCommunication SkillsProject Management

Required

Master's degree (MS, MPH, MSc, etc) in relevant research area (psychiatry, infectious disease, pediatrics, public health) and four or more years of relevant experience and training

Experience in a quantitative discipline such as statistics or clinical epidemiology is required

Excellent oral, written, and analytical skills, exhibiting fluency in area of specialization (environmental science, ecology, environmental health)

Ability to mentor

Ability to maintain strict confidentiality of all study subjects

Ability to develop program partnerships and funding sources

Assist with new research proposals and applications for funding and grants

Lead or participate in multidisciplinary teams across different faculties or schools

Design and implement key components of research projects, including background research, developing and executing implementation strategies, addressing challenges, and incorporating community centered knowledge and solutions

Contribute to the preparation of papers for publication. May be a co-author on publications. Present ongoing work and findings to colleagues at academic conferences

Perform ongoing literature review to remain current with new procedures and related research; propose new research directions based on new advances discussed in literature

Must be intellectually curious, have strong problem-solving skills, critical thinking skills, and attention to detail

Strong analytical skills and excellent judgment

Ability to prioritize workload, adjust timelines, work under deadlines, and shift priorities based on program and scientific collaborators (with general guidance) is essential

Excellent organizational skills and demonstrated ability to complete detailed work accurately and thoroughly

Developed project management skills

Contribute to a positive working environment

Preferred

Background in clinical epidemiology, +/-biostatistics, or another similar quantitative discipline

Extensive experience working with large relational databases and strong skills in statistical analyses (linear/logistic regression, mixed effects modeling, and time-series/survival analysis, etc)

Highly proficient in SQL and/or SAS with experience manipulating large, complex datasets

Prior experience manipulating and merging large, complex data

Extensive experience and comfort working with relational databases

Extensive experience importing, transforming, cleaning, merging, and editing data and with quality/accuracy measures

Experience with additional programming languages such as SQL, Stata, R, and Python for data analysis is a plus

Prior clinical epidemiological research experience is necessary