Jobs in Computational Biology

***POSTED 11/26/18***

Research Scientist Position at the CIBIO-InBIO, Portugal

Job Posting at

Application Review Begins December 6th, 2018

The CIBIO-InBIO ( in Vairão, Portugal, is seeking a highly motivated Research Scientist (RS). The work performed by the RS will contribute to our diverse research program devoted to the investigation of the role of microbial infection and host immunity in the etiology of respiratory disorders.

The RS will mainly focus on Omic-based research (metagenomics, metatranscriptomics and transcriptomics) on the impact of microbial diversity and function on human heath (host-microbe interactions). However, candidates with experience in Omic research applied to microbial ecology (e.g., microbe-environment interactions) are welcome to apply.

This research is part of ongoing collaborations between CIBIO-InBIO, the George Washington University (Washington DC, USA) and University of Vigo (Spain). The selected candidate will be based on the CIBIO-InBIO, but will also work at the Computational Biology Institute (CBI) in Washington DC (

Applications can be submitted by any national, foreign and stateless candidate(s) holding a doctorate degree in Biology, Computational Biology, Bioinformatics, Microbial Ecology or related area.

General requirements:

1. Flexibility to work at and travel between the CIBIO-InBIO (Portugal) and the CBI, George Washington University (Washington DC, USA).

2. Experience in Omic analyses (metagenomics and transcriptomics) and an understanding of the key issues and relevant tools in the field. Experience with DNA and RNA extraction and sequencing is useful but not essential.

3. A strong quantitative background and good programming skills (R, Python and Perl) and Big Data managing.

Monthly remuneration to be paid is the one set by article 23 (3) of RJEC, corresponding to level 33 of the Single Salary Table, approved by Order no. 1553-C/2008 of December 31st, i.e. 2.128,34 Euros. A contract will be offered for one year with the possibility of extension for another year upon performance.

All applications for consideration must be submitted online at For questions relating to this opportunity, please contact Dr. Pérez-Losada at [email protected].


***POSTED 11/20/18***

We are seeking a Postdoctoral Researcher in Pathogen Dynamics to join my team at Oxford University. This is an exciting opportunity to conduct phylogenetic research on one of the largest HIV genomic data sets collected in Africa to date. You will work on the phylogenetics sub-study of the large HPTN 071 (PopART) intervention trial, which aims to tackle the HIV epidemic in Zambia and South Africa.
PopART Phylo will use phylogenetic methods to examine patterns of HIV transmission on a population level in selected HPTN 071 communities. This study will provide key insights into the source of new infections in these communities and will identify factors associated with HIV transmission. The results will help guide future studies and public health prevention programs that build on the results of the HPTN 071 trial to optimise community-based approaches for HIV prevention.
You must have a PhD in infectious disease epidemiology, pathogen dynamics, phylodynamics, statistical genetics, applied computing, statistics, applied mathematics, data sciences, or relevant quantitative science, together with relevant experience in genetics or statistics.
This full-time position is fixed-term for 2 years in the first instance.
The position is at Grade 8: £40,792 - £48,677 p.a. Candidates with potential but less experience who are seeking a development opportunity, may be considered for appointment at Grade 7 (£32,236 - £39,609 p.a.) with the responsibilities adjusted accordingly.
Further particulars, including details of how to apply, can be obtained at
Applications for this vacancy should be made online and you will be required to upload a CV and supporting statement as part of your application.
The closing date for this post will be 12.00 noon on Thursday, 22 November 2018.

For any further questions, don’t hesitate to contact me or Lucie Abeler-Dörner ([email protected]).   

Kind regards,
Christophe Fraser

Professor Christophe Fraser
Senior Group Leader in Pathogen Dynamics
Big Data Institute,
Li Ka Shing Centre for Health Information and Discovery,
Nuffield Department of Medicine,
University of Oxford, OX3 7LF, UK.
Twitter: @ChristoPhraser
Email: [email protected]
PA: [email protected]
Tel: +44 1865 287591

***POSTED 11/20/18***

ICF is seeking a Senior Health Data Analyst/Scientist with expertise and/or interest in clinical research data. Check it out and spread the word to those who may be interested (e.g., recent grads, others in your network, etc.).


The Health, Research, Informatics & Technology Division of ICF provides a broad range of services related to Biomedical Informatics support for the Dept. of Health and Human Services (HHS) in the DC–metro area. We are currently seeking an experienced, versatile Senior Health Data Analyst/Scientist to support a client project. The Senior Analyst/Scientist is responsible for extracting, converting, and analyzing common data elements for HIV/AIDS data. The goals of this project are to evaluate existing efforts that share de-identified patient-level HIV/AIDS human clinical studies (interventional trials or observational studies); analyze data for a cohort of HIV/AIDS patients in Electronic Health Record databases; and, design clinical research informatics solutions that provide optimal syntactic format and semantic terminology bindings for sharing HIV/AIDS trial data

This position requires being onsite daily at our client location in Bethesda, Maryland.

Key Responsibilities:

·Prepare programmatic scripts to validate, cleanse and import data from data providers into a secure database
·Assess quality of imported data and fitness for purpose
·Perform analysis on imported data for hypothesis generation and testing
·Perform targeted analysis to compare data modeling and representation in data sources
·Assist in project administration duties e.g., liaison with external entities, writing reports
·Create basic R package that determines study feasibility
·Analyze data that only are available in SAS format or in SAS environment
·Conduct OHDSI Network study and coordinate data extraction and execution of this study from multiple sites in OHDSI network (using OHDSIRTools package).

Basic Qualifications:

·BS/BA Degree in Bioinformatics, Computer/Data Science, or related technical discipline and at least three (5) years of relevant experience. Master's degree preferred.
·3 years of experience with SQL and relational databases
·1 year of experience with SAS
·3 years of hands on experience with one of the following programming languages: Java, Python, Perl and C.
·Knowledge and experience in clinical data modeling, clinical data repositories, clinical data warehousing and clinical trials data
·Knowledge and experience in data analytics and data research
·Knowledge of clinical medicine and medical terminologies

Preferred Qualifications:

·Experience with R is highly desirable (or willingness to learn R) in order to be able to follow R code and create R libraries (packages)
·Familiarity with XML and JSON schema, experience with software like Oxygen, Altova XML Spy or other similar tool
·Experience in scientific publication

Professional Skills:

·Excellent oral, and written communication skills
·Excellent ability to document projects and provide status reports.
·Excellent team and interpersonal skills. Ability to both take direction and work in a self-directed environment, effectively interact with all levels of staff and external contacts, and ability to work as an effective team member.
·Excellent organization and time management skills, and flexibility to handle a variety of tasks, and adjust priorities as needed.

***POSTED 11/5/18***

The Florida Department of Health, Bureau of Public Health Laboratories (BPHL) is seeking an experienced bioinformatic analyst, capable of working independently, or as a first-line supervisor for a small bioinformatics team. This is a grant funded, contract position in the Jacksonville laboratory currently funded from 8/1/18-7/31/19.

BPHL is part of a nationwide consortium of Public Health Laboratories. The purpose of this position is to: 1. Provide bioinformatics support/pipeline development for BPHL (detailed further below) and 2. Provide bioinformatics support for Public Health Laboratories in the Southeast region (6 states) including webinars and onsite support within the framework of the larger consortium.

This individual should have practical and technical experience in microbial, viral, and public health bioinformatics, including the deployment, validation, configuration and development of customized bioinformatics workflows. In general, this individual is expected to have a PhD in bioinformatics or a related discipline, or a combination of equivalent education and/or experience.

General duties include:
1. Plans and executes analytic research projects, establishing new standard operating procedures if necessary
2. Identifies novel methodologies, measures, and research questions for assessment and summarization of findings
3. Selects appropriate analysis techniques and measures, can identify and implement the necessary software and databases to complete defined analytical tasks.
4. Develops, manages and curates databases for analysis
5. Identifies, implements, and maintains data quality control and management programs
6. Directs/coordinates other bioinformaticians involved in complex analysis projects, including data sharing and engagement across multidisciplinary project teams.
7. Provides technical assistance on the use of complex data analysis techniques and methods
8. Disseminates the results of research projects in a wide range of venues including publications, peer reviewed journals, summaries, manuscripts, and special reports.

If interested, please send a cover letter and a copy of your CV to: [email protected].

“Bioinformatics Resource Lead” should be in the subject line.

***POSTED 11/5/8***

Virginia Commonwealth University

Center for Biological Data Science

Faculty Positions in Bioinformatics

The Center for Biological Data Science (CBDS) at Virginia Commonwealth University invites applications for two full time tenure-track and one full-time renewable non-tenure track faculty positions in Biological Informatics/Data Science with an anticipated start date of August 2019. These are the first of multiple anticipated new faculty positions in CBDS to build an academic community centered on quantitative and computational discovery science and to promote collaborative scholarship in basic and applied life sciences across VCU. As part of VCU Life Sciences (, the Center is committed to interdisciplinary research and training that connects researchers across the entire University. Additional resources and facilities within VCU Life Sciences include the Center for Environmental Studies, Center for Life Sciences Education, the Rice Rivers Center, and the Center for High Performance Computing.
The research focus of the CBDS is the use and development of interdisciplinary informatics and data science approaches for the study of life sciences across all scales, from molecular and cellular to populations, communities, or ecosystems. We anticipate growing a diverse set of faculty with backgrounds and interests spanning areas of medicine, computer science, mathematics, and statistics. The Center administers bachelor’s and master’s degrees in Bioinformatics and participates in the interdisciplinary Integrative Life Sciences doctoral program, also housed within VCU Life Sciences.

All three positions are intended at the rank of Assistant Professor, with higher ranks considered for exceptional applicants. Interested applicants must apply online at the links below with cover letter, CV, and contact information for three references. Candidates may apply for both the tenure-track and non-tenure track positions.

General information about the Center for Biological Data Science may be found at

Tenure-Track Assistant Professor (two positions):

Successful candidates for the tenure-track positions (CBDS will serve as the tenure home) will be expected to develop an innovative, extramurally-funded, independent research program; fulfill teaching requirements at both the undergraduate and graduate levels, including mentoring undergraduate and graduate students; and have a commitment to outreach and service both within and beyond the University community. All interested candidates must be able to work across multiple disciplines regardless of whether their research is fundamental or has strong translational and applied implications.

Required Qualifications: A doctoral degree (Ph.D.) in the biological sciences, data sciences, bioinformatics, or a related field; demonstrated experience in teaching/mentoring students; a significant commitment to biological data science or informatics research and development; a demonstrated record of significant publications; and potential to develop a strong collaborative research program in data science or bioinformatics. The successful candidate must also have demonstrated experience working in and fostering a diverse faculty, staff, and student environment or commitment to do so as a faculty member at VCU.

Preferred Qualifications: Postdoctoral experience in biological sciences, data sciences, bioinformatics, or a related field at the time of appointment. Desired research foci include, but are not limited to the development and use of: novel Bayesian approaches for the analysis of biological data, computational optimization and approaches for dealing with Big Data, large-scale phylogenetic inference, and metagenomics. Demonstrated ability working with a diverse student population.

Tenure-track faculty applications:

For additional information or questions, please contact the chair of the search committee Dr. Brian Verrelli at [email protected].

Non-Tenure Track Assistant Professor (one position):

Successful candidates for the non-tenure track position will be expected to develop and teach innovative courses in biological informatics and data science; mentor undergraduate and graduate students; and have a commitment to outreach and service both within and beyond the University community.

Required Qualifications: A doctoral degree (Ph.D.) in the biological sciences, data sciences, bioinformatics, or a related field; demonstrated experience in teaching and mentoring students. The successful candidate must also have demonstrated experience working in and fostering a diverse faculty, staff, and student environment or commitment to do so as a faculty member at VCU.

Preferred Qualifications: Demonstrated experience in development and assessment of teaching materials at the undergraduate and graduate levels. Demonstrated ability working with a diverse student population.
Non-tenure track faculty applications:

For additional information or questions, please contact the chair of the search committee Dr. Allison Johnson at [email protected].

Virginia Commonwealth University is an equal opportunity, affirmative action university providing access to education and employment without regard to race, color, religion, national origin, age, sex, political affiliation, veteran status, genetic information, sexual orientation, gender identity, gender expression, or disability.

***POSTED 9/14/18***

Bioinformatics Scientist Job Opening
GB HealthWatch is a nutrigenomics and digital health company located in San Diego, California. We develop next-generation sequencing genetic testing for complex diseases such as type 2 diabetes and Alzheimer’s, a genetics-targeted lifestyle intervention mobile app, and nutraceutical drugs. We have ambitious goals and are working closely with top-tier clinicians and scientists to bring genetics-based preventive medicine to reality. We are seeking a talented and passionate Bioinformatics Scientist to join this young and exciting company. GB HealthWatch offers a competitive salary, stock options and unlimited career growth potential. We will be happy to provide sponsorship for a H1B Visa and green card application.

Major Responsibilities
· Create, design and maintain database architecture for genetics-based precision medicine and precision nutrition applications.
· Create and design self-learning data structures and algorithms to support continuous optimization of genetic risk prediction and treatment recommendations.
· Utilize bioinformatics theories, methods and algorithms to provide evidence and critical review for designing and developing genetics-targeted preventive medicine and nutritional therapies.
· Collaborate with bioinformatics and software development teams to automate genetic risk predication pipelines and present actionable genetic reports to physicians and patients.
· Develop and maintain the bioinformatics database and update automation procedures.
· Provide bioinformatics consulting and data analysis services to other team members as needed.

Required Skills, Experience and Qualifications
MS or PhD in bioinformatics, molecular biology or related field with 0-3 years postgraduate experiences. Postdoctoral scholars welcome.
· Strong knowledge of molecular biology and genetics.
· Strong knowledge of relational databases and SQL.
· Strong skills in programming languages in Perl, R or Python.
· Must be familiar with publicly available bioinformatics databases, tools, algorithms, and websites, such as NCBI, UCSC, ENSEMBL, ENCODE, 1000 Genomes and NHGRI. Knowledge of NGS data processing.
· Proficient in the Linux operating system and basic shell script programming.
· Natural talent for systematic thinking and planning.
· Attention to detail.

Preferred Skills, Experience and Qualifications
· Experience with cloud-based computing services.
· Knowledge of statistics preferred.
· Knowledge of biochemistry and molecular nutrition.
· Good interpersonal and communication skills.

Contact us:
Please email your resume to: [email protected]

***POSTED 9/10/18***

Assistant Professor in Biostatistics, Three Positions
The University of Massachusetts Amherst is the flagship campus of the University of Massachusetts system, and is home to over 22,000 undergraduate and 6,300 graduate students.  The University of Massachusetts at Amherst is located in the scenic Pioneer Valley of western Massachusetts. The area is home to the Five Colleges (Amherst College, Hampshire College, Mount Holyoke College, Smith College, and the University of Massachusetts), with many opportunities for inter-institutional collaboration.  The region boasts a rural setting with easy access to Boston, Hartford and New York City.

The Department of Biostatistics and Epidemiology is a highly collaborative group of 19 faculty researchers in a variety of areas. The Biostatistics program has nine faculty members whose methodological research focuses on areas such as Bayesian methods, methods for high-dimensional data, biomarker discovery, population genetics, bioinformatics, clinical trials, time-series analysis, missing data, survey sampling, and survival analysis. Specific areas of application include genomics, demography, epidemiology, infectious disease, analysis of electronic medical record data, and addiction research. Department members collaborate extensively with faculty from other departments across campus, the University's Medical School, and Baystate Medical Center. Additionally, active collaborations exist between biostatistics faculty and the UN, WHO, CDC, and other governmental agencies and academic institutions in the US and internationally.

Job Description:  The Biostatistics Program in the Department of Biostatistics and Epidemiology seeks three (3) tenure track faculty at the rank of Assistant Professor.
Responsibilities will include research, advising students and teaching at graduate and undergraduate levels, and departmental, school and university service.
Tenure track positions at the University of Massachusetts receive nine months of committed salary support.
Salary/Benefits: The University offers a competitive salary with an attractive benefits package.

Requirements: Candidates for this position must meet the following minimum requirements:
• Terminal degree (e.g., PhD, ScD) in biostatistics or closely related field of study;
• Evidence of independent and collaborative research potential;
• Strong record of peer-reviewed publication given career stage;
• Excellent oral and written communication skills; and
• Demonstrated interest and ability in teaching and advising at the undergraduate or graduate level.
• In addition, preference will be given to candidates possessing excellent potential for securing federal research funding.
• Demonstrated potential to develop an extramurally funded research program in biostatistical methods and excellent teaching skills.
• Successful applicants will be dynamic, collaborative researchers, whose methodological work is inspired by pressing problems in public health.
• We are interested in candidates with experience in a broad range of methodological settings, including but not limited to faculty whose research focuses on machine learning, bioinformatics, statistical genetics, neurostatistics, clustered data, missing data and infectious diseases.

Additional Information:  The University is committed to active recruitment of a diverse faculty and student body. The University of Massachusetts Amherst is an Affirmative Action/Equal Opportunity Employer of women, minorities, protected veterans, and individuals with disabilities and encourages applications from these and other protected group members. Because broad diversity is essential to an inclusive climate and critical to the University's goals of achieving excellence in all areas, we will holistically assess the many qualifications of each applicant and favorably consider an individual's record working with students and colleagues with broadly diverse perspectives, experiences, and backgrounds in educational, research or other work activities. We will also favorably consider experience overcoming or helping others overcome barriers to an academic degree and career.
We are seeking talented applicants qualified for an assistant professor position. Under exceptional circumstances, highly qualified candidates at other ranks may receive consideration.

Application Instructions:  The application review process will begin October 1, 2018 and will continue until the position is filled.  The earliest anticipated start date is September 2019.
Applications: Interested candidates should submit their cover letter, curriculum vitae, a description of their research and teaching interests, and the names of three references through PageUP

***POSTED 8/29/18***

N4 Solutions, LLC offers our public and private sector clients the collective intellectual knowledge, expertise, and experience of our company and associates to help our customers evaluate, collaborate, innovate, and create business, technology, and scientific solutions that enable them to accomplish their mission and achieve organizational objectives. We are seeking highly-talented, skilled, and accomplished professional to join our team!


Collaborate with CEU/CGB senior staff and statistician within the Biostatistics Branch (BB) to program and conduct analyses, primarily absolute risk estimation, to help in-form national screening and management guidelines for cervical pre-cancer/cancer.
Collaborate with other researchers and clinicians in cervical cancer screening to identify and complete needed analyses.
Work with staff on preparing reports for presentation and/or for publication.
Perform data programming, analysis and presentation by preparing charts, tables and graphs using software such as R, SAS and STATA.
Check and confirm the accuracy of calculations conducted by collaborating program-mers, analysts, and presenters to guard against mistakes in design, conduct, or presenta-tion of risk estimates.
Learn and use specialized computer programs and other tools in the conduct of duties.
Function as a compatible member of a multidisciplinary research team.

Ph.D. degree or equivalent in a relevant discipline (e.g., Biostatistics, Statistics, Epidemi-ology, Mathematics, or Computer Science). Three (3) years of specialized experience plus a Master’s degree is equivalent to a Ph.D.
Minimum of two (2) years of experience in a related field
Extensive experience programming in R, as evidenced by development of well-organized, well-documented R code and the ability to check R code written by others
Knowledge of statistics, including survival analysis. 
Organizational abilities, attention to detail, initiative, and the ability to present results of analysis effectively in speech and in writing.
Excellent analytical, organizational, and time management skills.
Displayed proficiency in SAS, STATA, R, Microsoft Word, Excel, PowerPoint.
Strong communications skills, both oral and written.
Please see the posting below for application instructions:,-LLC/Job/Statistician-(PD-NIH-031-NCI009)/-in-Rockville,MD?jobid=d94f500a-3e68aef1

***POSTED 8/20/18***

The CBI has two open positions, Research Associate, Clinical Data, and Research Associate, Software Development. Please take a look at both links for more information!