Post Doctoral Research Associate

Responsibilities:

Under the general supervision of the Principal Investigator, and within established policies and procedures, performs scientific investigative research; participates in the design of' protocols and research directions and develops new procedures to carry out established research objectives; manages and analyzes data; performs statistical analyses; executes existing protocols and develops new methodologies to carry out established research objectives; researches literature in the field; writes manuscripts, presentations and grants in line with the research goals and based on the research performed.

Specific area of study for this job:

We are seeking to hire a post-doctoral researcher with interest and experience in molecular epidemiology and specifically the use of epidemiologic and multi-omics data to participate in an NIH-funded project investigating mechanisms of disease and risk prediction with a focus on sex differences in the risk of stroke and other cardiovascular/ cardiometabolic conditions using high-dimensional omics data.

Educational Requirements:

Candidates must have a doctoral degree (PhD) in either biostatistics or epidemiology.

Experience/ Skills Required:
Software/ Statistical Coding: Candidates must have proficiency using Microsoft Office, Microsoft Excel, R/ R Studio, SAS
Experience in the use of omics data to investigate disease mechanism and risk or similar skillsets with multidimensional data
Excellent verbal and written communication skills
Ability to work well on a team of investigators (with Principal Investigator, Co-Investigators, Head Biostatistician, doctoral students)
Ability to design and create tables and figures for presentation of data
Ability to supervise students and doctoral students

Optional criteria:
Proficiency in other statistical languages (Python, MATLAB, GraphPad).
Previous experience in the study of sex and gender in health and disease

Description of Role/ Responsibilities:
Assisting the PI in tasks such as obtaining and managing omic data using cloud-based biorepositories
Drafting study documents including paper proposals, revisions to paper proposals, manuscript drafts and critical revisions
Coding and statistical analysis using multi-omics (genomic, epigenomic/ DNA methylation, metabolomics) data on a cloud-based platform. Data analysis tasks will include: harmonization of data between datasets, data cleaning and analysis of patterns of missing data, time to event analyses, instrumental variable analyses, missing data imputation, network/ pathway analysis, risk prediction/ modelling.
Creating tables and figures for presentation and publication

WORK ENVIRONMENT AND PHYSICAL REQUIREMENTS:

Most duties are performed in an office environment. Any risk of exposure to contagious or noxious elements is minimized by adherence to safety procedures and protocols. Normal office environment. Requires standing, bending and sitting. Sufficient visual acuity and manual dexterity to use computer keyboard and other common office equipment.

INDEPENDENT ACTION:

Performs independently within department policies and practices. Refers specific complex problems to supervisor where clarification of departmental policies and procedures may be required.

SUPERVISORY RESPONSIBILITY:

Ability to train and work with volunteers and students on projects.

Lifespan is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, ethnicity, sexual orientation, ancestry, genetics, gender identity or expression, disability, protected veteran or marital status. Lifespan is a VEVRAA Federal Contractor.

Location: Rhode Island Hospital, USA: RI:Providence

Work Type: Full Time

Shift: Shift 1

Union: Non-Union

Job Type: Full-time

Pay: $61,008.00 - $74,088.00 per year

Work Location: In person