LIVE SCIENCE
OVERVIEW
Bioinformaticians are some of the most sought-after professionals within Life Science Analytics. Their insights have been continuously proven as critical for the development of new biomarkers, drugs, therapeutics and healthcare platforms.
In particular, their understanding of the pure science, combined with an ability to model data, utilizing languages such as Python and R, has led to a high demand from Biotech start-ups and large Pharma firms.
HOW WE
DO IT
We have the knowledge, the network and the required drive to find the best candidates on the market, as well as working with some of the most exciting Life Science businesses around.
If you’re hoping to change careers or are looking for the right talent to fill an opening, Harnham can help.
PERMANENT, CONTRACT & REMOTE BIOINFORMATICS RECRUITMENT
We have one of the largest talent networks of Data & AI are uniquely placed to offer bespoke solutions whatever your hiring needs are.
Our specialty is matching highly experienced and skilled talent, with world leading organizations and forward-thinkers who see the opportunities that Life Science Analytics offer.
We have a unique understanding of this arena and excellent relationships with some of the best organizations around. If you’re hoping to change career or are looking for the next member of your team, we can help you.
HEALTH
INFORMATICS
From Biotech and Pharmaceutical firms to Research and Academia, we help the best Health Informaticians find rewarding careers.
With the US seeing $250 Billion worth of wasted healthcare data every year there is a huge demand for technologies that can provide the right data, to the right person, at the right time. M.D.s with an understanding of Informatics are now more desirable than ever.
From driving division strategy to integrating, modelling and transforming data, we understand the importance of Health Informaticians, and how to find the right one.
BIO
INFORMATICS
Bioinformaticians are some of the most sought-after professionals in Life Science Analytics. Their insights have been continuously proven as critical for the development of new biomarkers, drugs, therapeutics and healthcare platforms.
In particular, their understanding of pure science, combined with an ability to model data, utilizing languages such as Python and R, has led to high demand from Biotech start-ups and large Pharma firms.
JOBS
LATEST
OPPORTUNITIES
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Senior Bioinformatics Engineer
San Francisco
$135000 - $150000
+ Life Science Analytics
PermanentSan Francisco, California
To Apply for this Job Click Here
Company Overview:
I’m working with an innovative biotech startup helping patients to have easier access to their personal genetic information.
Position Overview:
We are seeking a talented and motivated Bioinformatics Engineer to support their team as they grow. The successful candidate will play a key role in the development of reliable production-grade bioinformatics pipelines to utilize genomics/health information.
Key Responsibilities:
- Build and maintain bioinformatics pipelines/workflows
- Work on back-end aspects of the project, ensuring seamless integration and functionality.
- Contribute to computing infrastructure
- Effectively communicate and collaborate with team members who may not have a biological background, emphasizing the importance of cross-functional skills.
Qualifications:
- B.S./M.S./PhD in related field
- Experience with Nextflow/Snakemake
- Excellent Python coding skills
- Linux/Unix and cloud computing experience
Preferred Skills:
- Experience with modern software development
- Ability to perform well in a startup environment
Compensation:
The compensation for this role is in the range of $135,000 to $150,000.
If you are a motivated and skilled professional seeking a challenging opportunity in a forward-thinking company, we encourage you to apply
To Apply for this Job Click Here
Principal Computational Biologist
San Francisco
$160000 - $180000
+ Life Science Analytics
PermanentSan Francisco, California
To Apply for this Job Click Here
Principal Computational Biologist – AI/ML
Remote
$160,000-$180,000 + Bonus/Equity
This large biotech company is looking to hire a Principal Computational Biologist to help leverage AI/ML models to assist therapeutic project teams.
Role Overview:
- Take lead in AI/ML development (NLP, LLM’s, VAE’s), system infrastructure, and establishment of best practices
- Lead and train a group and work with research colleagues in the use of AI/ML-based platforms
- Work closely with scientists to discover and validate new targets and biomarkers
- Represent the team as a lead for the department
Preferred Skills:
- PhD and 3 years relevant industry experience
- Prior work with therapeutic pipelines and drug modalities
- Demonstrated skill in cross-functional collaboration
The Benefits:
· $160,000 – $180,000 base salary
· Target bonus
· RSU’s
· Competitive PTO
Please apply today and we’ll reach out for an initial conversation around the details of the role/company.
To Apply for this Job Click Here
Principal Scientist, Cheminformatics
Boston
$160000 - $190000
+ Life Science Analytics
PermanentBoston, Massachusetts
To Apply for this Job Click Here
Position Overview: We are seeking a highly skilled and motivated Principal Scientist in Cheminformatics to join our dynamic research team. The successful candidate will play a pivotal role in leveraging computational methods and data analysis techniques to drive our drug discovery efforts forward. As a key member of our organization, the Principal Scientist will collaborate closely with cross-functional teams to design and implement cheminformatics strategies that accelerate the identification and optimization of potential drug candidates.
Responsibilities:
-
Lead Cheminformatics Strategy: Develop and implement innovative cheminformatics approaches to support drug discovery projects from target identification through lead optimization.
-
Data Analysis and Modeling: Utilize computational tools and techniques to analyze chemical and biological data, extract meaningful insights, and generate predictive models to guide decision-making processes.
-
Compound Library Management: Oversee the curation, annotation, and maintenance of our compound libraries, ensuring data integrity and accessibility for research activities.
-
Structure-Activity Relationship (SAR) Analysis: Conduct SAR studies to elucidate the relationship between chemical structure and biological activity, guiding the design of novel compounds with desired pharmacological properties.
-
Virtual Screening and Hit Identification: Apply virtual screening methods and molecular docking simulations to identify potential drug candidates from large compound libraries and virtual chemical space.
-
Collaborative Research: Collaborate with medicinal chemists, biologists, and other team members to design focused compound libraries, prioritize screening compounds, and optimize lead series.
-
Stay Abreast of Industry Trends: Keep abreast of emerging trends, technologies, and methodologies in cheminformatics and computational chemistry, and integrate relevant advancements into our drug discovery pipeline.
-
Documentation and Communication: Prepare and present scientific reports, contribute to patent applications, and communicate results and insights effectively to internal stakeholders and external partners.
Qualifications:
- Ph.D. in Chemistry, Computational Chemistry, Cheminformatics, or related field with 5+ years of industry experience, or Master’s degree with 8+ years of relevant experience.
- Strong expertise in cheminformatics, including proficiency in molecular modeling, QSAR/QSPR, ligand-based and structure-based drug design, chemoinformatics databases, and molecular dynamics simulations.
- Proficiency in programming languages commonly used in cheminformatics, such as Python, R, or Java, and experience with relevant software packages (e.g., Schrödinger Suite, RDKit, Pipeline Pilot, KNIME).
- Demonstrated track record of applying computational methods to advance drug discovery projects, evidenced by publications, patents, or successful project contributions.
- Excellent analytical and problem-solving skills, with the ability to work independently and collaboratively in a fast-paced, multidisciplinary environment.
- Strong communication and interpersonal skills, with the ability to effectively present complex scientific concepts to diverse audiences.
To Apply for this Job Click Here
Director of Computational Biology
Boston
$200000 - $240000
+ Life Science Analytics
PermanentBoston, Massachusetts
To Apply for this Job Click Here
Job Description: We are seeking a highly skilled and motivated Director of Computational Biology to lead our computational biology team in the development and application of advanced algorithms and computational techniques to drive drug discovery efforts. As the Director of Computational Biology, you will play a pivotal role in harnessing the power of AI and computational biology to identify novel drug targets, optimize therapeutic candidates, and advance our pipeline of innovative therapies.
Key Responsibilities:
-
Leadership: Provide strategic leadership and direction to the computational biology team, fostering a culture of innovation, collaboration, and excellence.
-
Algorithm Development: Lead the development and implementation of state-of-the-art computational algorithms and models for drug target identification, drug design, and optimization.
-
Data Analysis: Oversee the analysis and interpretation of complex biological data sets, including genomics, transcriptomics, proteomics, and other high-throughput data modalities, to extract actionable insights.
-
Collaboration: Collaborate closely with cross-functional teams, including bioinformatics, medicinal chemistry, biology, and machine learning, to integrate computational biology approaches into drug discovery projects.
-
Pipeline Development: Drive the design and execution of computational biology strategies to advance our pipeline of therapeutic candidates from target identification through preclinical development.
-
Technology Evaluation: Stay abreast of emerging technologies and methodologies in computational biology and AI, evaluating their potential impact on drug discovery and recommending adoption where appropriate.
-
External Engagement: Represent the company externally through participation in scientific conferences, collaborations with academic and industry partners, and publication of research findings in peer-reviewed journals.
Qualifications:
- Ph.D. or equivalent degree in computational biology, bioinformatics, computer science, or a related field.
- Proven track record of leadership in computational biology or bioinformatics in a pharmaceutical, biotechnology, or academic setting.
- Expertise in the development and application of computational algorithms for analyzing biological data, with a strong understanding of machine learning, statistical modeling, and data mining techniques.
- Proficiency in programming languages commonly used in computational biology, such as Python, R, or C/C++.
- Excellent communication and interpersonal skills, with the ability to effectively collaborate with multidisciplinary teams and communicate complex concepts to both technical and non-technical stakeholders.
Preferred Qualifications:
- Experience working in the pharmaceutical or biotechnology industry, particularly in the context of drug discovery.
- Familiarity with cheminformatics, structural biology, and molecular modeling approaches.
- Knowledge of drug discovery processes and experience applying computational biology techniques to drug development projects.
To Apply for this Job Click Here
Bioinformatician/Data Scientist
Los Angeles
$110000 - $140000
+ Life Science Analytics
PermanentLos Angeles, California
To Apply for this Job Click Here
Bioinformatician/Data Scientist
Los Angeles County
$110,000 – $140,000 + BENEFITS
The Company
This clinical-stage biotech company in the precision medicine space is growing and looking to add a bioinformatician to its computational team. The ideal candidate will have ~2 years of experience from either industry or academia and exceptional communication/interpersonal skills.
THE ROLE
- Design and maintain workflows for omics data analyses
- Develop and deploy software and tools for data analysis, summary, visualization, interpretation
- Review code and collaborate with engineers on deployment in the cloud
- Continuous interaction with various teams in the company as well as investors
Your Skills & Experience
- Master’s or PhD in a related field
- Strong experience developing workflows and analyzing high-throughput sequence data
- Proficiency with R and/or Python with HPC or cloud computing, shell scripting,
- Ability to produce reproducible code (jupyter notebook), experience in modern software development tools including version control-Git and testing framework
- Excellent communication skills and a willingness to learn and train
How To Apply
Please register your interest by sending your resume to Tim Lucas via the apply link on this page.
To Apply for this Job Click Here
Director of Bioinformatics
South San Francisco
$210000 - $230000
+ Life Science Analytics
PermanentSouth San Francisco, California
To Apply for this Job Click Here
Director of Bioinformatics
San Diego, CA
$210,000-$230,000 + Bonus Opportunites
This innovative biotech company is looking for its next leader. Join a stable, established team where you’ll have a chance to build and lead a function that helps to drive innovation.
Role Overview:
· Lead a team of bioinformaticians while collaborating closely with lab scientists and engineers to build and maintain complex NGS pipelines
· Coordinate and encourage standardized coding best practices, lead and collaborate with team members on code reviews
· Develop algorithms and computational infrastructure for gene-editing applications, such as off-target analysis, guide selection, and determining editing outcomes
Skills:
· PhD and seasoned experience in Bioinformatics
· At least six years of closely related bioinformatics industry experience with at least two years experience in a leadership capacity
· Expert level proficiency in Python and experience or a strong interest in working with cloud computing systems (e.g. AWS)
The Benefits:
$210,000-$230,000
· Equity
· Comprehensive benefits
· Competitive PTO
· 401k with company match
Please apply and send CV
To Apply for this Job Click Here
Principal Scientist, Cheminformatics
San Francisco
$160000 - $200000
+ Life Science Analytics
PermanentSan Francisco, California
To Apply for this Job Click Here
Position Overview: We are seeking a highly skilled and motivated Principal Scientist in Cheminformatics to join our dynamic research team. The successful candidate will play a pivotal role in leveraging computational methods and data analysis techniques to drive our drug discovery efforts forward. As a key member of our organization, the Principal Scientist will collaborate closely with cross-functional teams to design and implement cheminformatics strategies that accelerate the identification and optimization of potential drug candidates.
Responsibilities:
-
Lead Cheminformatics Strategy: Develop and implement innovative cheminformatics approaches to support drug discovery projects from target identification through lead optimization.
-
Data Analysis and Modeling: Utilize computational tools and techniques to analyze chemical and biological data, extract meaningful insights, and generate predictive models to guide decision-making processes.
-
Compound Library Management: Oversee the curation, annotation, and maintenance of our compound libraries, ensuring data integrity and accessibility for research activities.
-
Structure-Activity Relationship (SAR) Analysis: Conduct SAR studies to elucidate the relationship between chemical structure and biological activity, guiding the design of novel compounds with desired pharmacological properties.
-
Virtual Screening and Hit Identification: Apply virtual screening methods and molecular docking simulations to identify potential drug candidates from large compound libraries and virtual chemical space.
-
Collaborative Research: Collaborate with medicinal chemists, biologists, and other team members to design focused compound libraries, prioritize screening compounds, and optimize lead series.
-
Stay Abreast of Industry Trends: Keep abreast of emerging trends, technologies, and methodologies in cheminformatics and computational chemistry, and integrate relevant advancements into our drug discovery pipeline.
-
Documentation and Communication: Prepare and present scientific reports, contribute to patent applications, and communicate results and insights effectively to internal stakeholders and external partners.
Qualifications:
- Ph.D. in Chemistry, Computational Chemistry, Cheminformatics, or related field with 5+ years of industry experience, or Master’s degree with 8+ years of relevant experience.
- Strong expertise in cheminformatics, including proficiency in molecular modeling, QSAR/QSPR, ligand-based and structure-based drug design, chemoinformatics databases, and molecular dynamics simulations.
- Proficiency in programming languages commonly used in cheminformatics, such as Python, R, or Java, and experience with relevant software packages (e.g., Schrödinger Suite, RDKit, Pipeline Pilot, KNIME).
- Demonstrated track record of applying computational methods to advance drug discovery projects, evidenced by publications, patents, or successful project contributions.
- Excellent analytical and problem-solving skills, with the ability to work independently and collaboratively in a fast-paced, multidisciplinary environment.
- Strong communication and interpersonal skills, with the ability to effectively present complex scientific concepts to diverse audiences.
To Apply for this Job Click Here
Bioinformatic Data Scientist
Remote
$60 - $80
+ Life Science Analytics
ContractUSA
To Apply for this Job Click Here
As the Bioinformatic Data Scientist, you will have the opportunity to contribute to a world-class biotech and pharmaceutical organization. Your work will positively impact the research and development of innovative therapies for diseases of great need.
The Role
- You will develop and maintain single-cell data processing pipelines in partnership with computational biologists in support of key scientific objectives
- Integrate single-cell datasets into atlases focused on specific scientific questions
- Curate, process and analyze single-cell datasets and present results to relevant stakeholders as required
- Develop and support visualization tools to facilitate the interpretation of data and analyses
Qualifications
- You must have a Ph.D. OR a Master’s degree with at least three years of relevant experience OR a bachelor’s degree with eight years of experience in bioinformatics, computational biology, computer science, engineering, or immunology.
- Strong experience with Python or R programming language.
- Familiarity with standard bioinformatics workflows and algorithms.
- Experience processing omics (transcriptomics, proteomics, genotypes, etc.) or other high-dimensional data.
- Experience analyzing single-cell sequencing data.
- Prior experience in the pharmaceutical industry or a related field is.(Nice to Have)
- Familiarity with AI/ML techniques and approaches. (Nice to Have)
- Experience with cloud computing. (Nice to Have)
- Experience with databases (SQL, NoSQL). (Nice to Have)
To Apply for this Job Click Here
Principal Computational Biologist – AI/ML
San Francisco
$160000 - $170000
+ Life Science Analytics
PermanentSan Francisco, California
To Apply for this Job Click Here
PRINCIPAL COMPUTATIONAL BIOLOGIST – AI/ML
REMOTE
$160,000-$170,000
THE COMPANY
This global biotech company is searching for a Principal Computational Biologist to join their research team. The team focuses on analyzing multi-omics data within therapeutics focused on accelerating discovery and development.
Role & Responsibilities:
- Collaborate with biologists, chemists, and technologists
- Work to deliver AI/ML biological insights to accelerate and improve success rates
- Develop AI/ML systems infrastructure
- Mentor colleagues to use AI/ML system infrastructure
Skills:
- Python
- Experience working with multi-omics data
- Deep understanding of AI/ML (NLP and LLM)
- Experience with working with biomarkers
- Experience in target discovery/validation
- PhD in Computer Science, Computational Biology, or Bioinformatics
Benefits:
- $160,000-$170,000
- Bonus
- Equity
- Remote opportunity
Please apply and send your CV
To Apply for this Job Click Here
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