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  • Statistical Epidemiologist
Date : June 21, 2020
Location : No 17, Sybil Iroche Street, Lekki Phase1 Lagos, Nigeria

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.


Data/Scientific Team


Full-Time, Exempt

Reports to

Chief Data/ Scientific Officer


Lagos, NG;

London, UK; or

Washington, DC, USA


Essential Functions

Roles and Responsibilities

Genetic & Epidemiological Research

Conduct literature reviews, identify and analyze scientific studies to assist in developing hypotheses for what to look for in the genetic data

Identify and analyze public health issues and their impact on public policies (as it relates to corporate project objectives)

Apply principles of evidence-based public health, disease surveillance, medical terminology, and biostatistics to datasets

Develop and implement epidemiology studies within the context of the company’s research and development and post market programs, including data collection and management strategy, project coordination, research administration and study protocols

Analyze health challenges from multiple perspectives, weighing the pros and cons of alternate courses of action, and making recommendations to the company and clients

Work with program staff and stakeholders to develop and implement process and outcome evaluation related to partnerships, surveillance, and interventions

Assist in identifying potential data sources and collecting, analyzing, and disseminating data for surveillance and evaluation, including performance measures related to interventions and program activities

Access and utilize a variety of data sources for program evaluation and chronic disease surveillance activities

Data Analysis

Assist with data entry, coding and manage databases

Integrate data from health records and biomarker/genomic/other datasets in specific disease areas to gain deeper insight into patient subpopulations enabling an integrated biomarker strategy and/or target/biomarker discovery or verification

Design and perform a variety of detailed biostatistical analyses and applies knowledge of advanced statistical software (e.g., SAS) to tasks that involve large amount of data or extensive data cleaning

Utilize statistical techniques commonly used in epidemiologic evaluations to interpret and analyze health phenomena

Translate data analysis results, often from large datasets, into actionable information for our clients

Frequent application of computer skills in Microsoft ACCESS, PowerPoint, Excel, Word, and a statistical package such as SAS or SPSS

Collaboratively work in teams of data scientists, geneticists, biostatisticians, statistical programmers, health care professionals, as well as independently, to develop and implement disease surveillance, program assessment/evaluation, and medical informatics

Data mining of existing electronic clinical and genomic data systems

Reports & Publications Support

Provide written reports summarizing study procedures and results for diverse stakeholders (i.e. statistical programmers, biostatisticians and other related functional areas, and external collaborators)

Prepare technical and non-technical summaries of work, scientific reports and manuscripts for publication in peer-reviewed literature

Data Collection Design & Support

Support research teams in development of study protocols for ethical and IRB submissions

Assist with development of data collection methods

Support research teams to conduct data collection training sessions

Assist and/or conduct focus groups, data collection as defined by study protocol

Develop and conduct surveys, key informant interviews, and focus groups as appropriate.

Provide technical assistance to program staff and contractors on data collection methods, including focus groups and surveys.

Prepare and conduct training and data presentations for diverse audiences


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


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

Equal Opportunity Employer

54gene celebrates diversity and is proud to be an inclusive employer. We do not discriminate based upon race, religion, color, national origin, ancestry, sex, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or gender expression, age, marital status, genetic information, status as a protected veteran, status as an individual with a mental or physical disabilit

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