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University of Maine · 3 months ago

Research Associate II - Epidemiologist

P.O. Box 9300, Portland, ME, 04104, US

Full-time

Onsite

Mid, Senior Level

$70K/yr - $70K/yr

6+ years exp

The University of Southern Maine is seeking a full-time Research Associate II position within the Muskie School of Public Service. This role involves carrying out complex epidemiologic and surveillance activities focused on Environmental and Occupational Health, while collaborating with state and federal partners to enhance public health surveillance systems.

EducationSocial EntrepreneurshipUniversities

No H1B

Responsibilities

Carries out a full range of complex epidemiologic and surveillance activities, with a focus on Environmental and Occupational Health

Provides epidemiology and subject matter expertise to state, federal, and local partners

Develops, implements and sustains public health surveillance systems within the Maine CDC’s Environmental Health Program (EHP)

Assesses the burden and trends of environmental health-related outcomes, exposures, and risk factors in the general population and among sub-populations

Coordinates grant deliverables and reports and oversees technical staff in the execution of grant activities

Leads and collaborates on epidemiologic studies with various Maine CDC programs and with partners in other state and federal agencies

Qualification

EpidemiologyPublic HealthPublic Health SurveillanceQuantitative ResearchQualitative ResearchSASRPartnership BuildingApplied Epidemiologic StudiesCollaboration

Required

Master's degree in Epidemiology, Public Health or related field, preferably from an accredited school of public health, and a minimum of 6 years of epidemiologic-related work experience

Demonstrated mastery of principles of epidemiology and public health

Experience developing and implementing public health surveillance systems

Experience building partnerships and successfully collaborating with internal and external partners

Ability to identify the need for applied epidemiologic studies

Strong quantitative and qualitative research skills, including experience with major computer-based statistical packages, preferably SAS and/or R