Statistical Epidemiologist is needed at 54gene
JOB TITLE: Statistical Epidemiologist
LOCATION: Lagos
Department: Data/Scientific Team
Status: Full-Time, Exempt
Reports to: Chief Data/ Scientific Officer
Job Description
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- The Statistical Epidemiologist will have an opportunity to make his or her mark within a growing scientific team within 54gene.
- S/he will study the current literature and compare to both internal and external genomic datasets to analyze the interplay between genetic biomarkers and environmental factors to further the goal toward identifying diagnostic and therapeutic targets.
- Primary responsibilities include but not limited to analyzing next generation sequencing data (e.g., RNA-seq, whole genome/exome sequencing) using bioinformatical and statistical tools and developing new statistical methods to answer biological questions that arise in the research.
- This position will involve applying—and possibly developing—statistical and computational methods to high-throughput genetic and genomic data. Within the scientific team, potential projects include whole genome sequence association studies, genome-wide epigenetic association studies, and integrative genomic studies that incorporate sequence and expression data.
- The successful candidate will have the opportunity to work in a fast-paced and highly collaborative environment as well as engage fellow scientists and project teams to leverage genomics data in achieving project objectives
Qualifications
Knowledge, Skills & Abilities:
- Ability to coordinate and facilitate functions of cross-functional teams of professional and support personnel in conducting routine and non-routine epidemiologic evaluations
- Computerized database management and statistical software program skills, including SAS required.
- Data analysis skills (SAS, SPSS, etc.)
- Ability to write and publish scientific manuscripts
- Ability to communicate and work with a team, and independently, and with external stakeholders
- Excellent skills in written and oral communication
- Strong math and statistical skills
- Cross-cultural competency; ability to work with a diverse, global team
- Ability to learn in a fast-paced work environment
- Ability to coordinate and manage tasks and processes with minimal supervision
- Strong sense of responsibility with keen attention to details
- English fluency; fluency in French is a plus
Education & Certifications:
- M.S or PhD in Epidemiology, Genetic Epidemiology, Public Health, Biostatistics, or related field
- Minimum 15 credit hours in basic and advanced Biostatistics courses & 15+ credit hours in courses in Epidemiology
Experience:
- 3 years minimum; 5+ years preferred work experience in the field of Epidemiology
- 2+ years’ experience of working independently in a multi-disciplinary team is required
- Experience with qualitative and quantitative data techniques
- Experience writing technical or scientific reports, and documents
- Experience in the procurement, curation, organization and/or analysis of large sets of data
- Experience using technical software, e.g., SAS or R, ArcGIS, Qualtrics, MS Excel
- Experience in the use of R, Python, SQL, Shiny, Jira and other data analysis/performance management tools, preferred
- Demonstrated success working in a fast-paced, swiftly changing entrepreneurial environment; experience in a biotech start up, or rapidly growing companies, preferred
- Experience working in a company based in multiple locations; global experience preferred
- Effective at communicating insights and presenting concepts to a diverse audience
- Ability to work with multidisciplinary teams; Experience collaborating with lab scientists on data generation and analysis
- Ability to annotate and explore potential functions of identified variants with publicly available functional datasets or fine-mapping tools
- Knowledge of rare variant validation using multiple technologies and publicly available resources
- Experience in genome-wide (GWAS) and phenome-wide association studies, especially as they relate to implications in large multi-ethnic cohorts and analysis
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Job Features
Job Category | Analyst/ Quality Control |
Deadline | Not Specified. |