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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.

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Company Overview:

I’m working with a dynamic and innovative organization investing heavily in the development of cutting-edge products, particularly in the diagnostics space. Their collaborative and experienced team, currently consisting of 11 individuals, has been working together seamlessly on various projects and products. They embrace a hybrid/remote work environment, fostering a culture of teamwork and creativity.

Position Overview:

We are seeking a talented and motivated Digital Assays Software Engineer to join our team. The successful candidate will play a key role in the development of a digital assays website product, supporting ad hoc projects and internal initiatives that may evolve into external-facing products. This is an exciting opportunity to work on a project that is pivotal to the company’s growth, collaborating with a team of R&D and software professionals who come from diverse backgrounds.

Key Responsibilities:

• Collaborate with cross-functional teams, including R&D and software development, to contribute to the design and development of the Digital Assays website product.
• Work on back-end aspects of the project, ensuring seamless integration and functionality.
• Support ad hoc projects and internal initiatives, potentially transforming them into external-facing products.
• 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 in assay design is essential (PCR specifically preferred). Can come from a background as a bench scientist with hands-on experience or someone with coding skills related to assay design
• Proficiency in Python coding

Preferred Skills:

• Familiarity with AWS or a willingness to learn.
• Basic SQL query knowledge or a willingness to learn.
• Experience with unit testing.
• Effective communication skills.
• Ability to build tools or engineer solutions.
• Creative ideas around assay design, particularly in DPCR.
• Senior-level experience in software development.

Compensation:

The compensation for this role is in the range of $127,000 to $174,000.

If you are a motivated and skilled professional seeking a challenging opportunity in a forward-thinking company, we encourage you to apply. Join us in shaping the future of digital assays technology and make a significant impact in a dynamic and collaborative environment.

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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

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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

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Position Overview: We are looking for a seasoned professional to join our team as the Director of Biostatistics. The Director of Biostatistics will play a critical role in shaping the direction of our clinical development programs. This individual will lead a team of statisticians and collaborate closely with cross-functional teams to design, analyze, and interpret clinical trials data, ensuring the highest standards of statistical rigor and accuracy.

Key Responsibilities:

1. Leadership: Provide strategic direction and leadership to the biostatistics team, fostering a culture of excellence, collaboration, and innovation.
2. Statistical Design: Lead the statistical design of clinical trials, including sample size determination, randomization schemes, and statistical analysis plans.
3. Data Analysis: Oversee the analysis of clinical trial data, ensuring adherence to protocol and regulatory guidelines, and providing statistical insights to support decision-making.
4. Interpretation and Reporting: Interpret study results and communicate findings effectively to internal stakeholders, regulatory agencies, and external partners through statistical reports and presentations.
5. Regulatory Compliance: Ensure compliance with regulatory requirements and industry standards for statistical analysis and reporting, including FDA and EMA guidelines.
6. Cross-functional Collaboration: Collaborate closely with clinical development, regulatory affairs, medical affairs, and other functional areas to integrate statistical considerations into overall development strategies.
7. Methodological Innovation: Stay abreast of advancements in statistical methodologies and apply innovative approaches to address complex scientific challenges.
8. Mentorship and Development: Provide mentorship, coaching, and professional development opportunities to the biostatistics team members, fostering their growth and career advancement.

Qualifications:

• Ph.D. in biostatistics, statistics, or a related field.
• 8+ years of experience in biostatistics within the pharmaceutical or biotechnology industry.
• Proven track record of leading statistical efforts for clinical development programs from Phase I through Phase III.
• Strong knowledge of statistical methodologies, study design, and regulatory requirements for clinical trials.
• Proficiency in statistical software such as SAS, R, or Python.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.
• Prior experience managing and developing a team of statisticians is highly desirable.
• Demonstrated ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.

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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:

1. Leadership: Provide strategic leadership and direction to the computational biology team, fostering a culture of innovation, collaboration, and excellence.

2. Algorithm Development: Lead the development and implementation of state-of-the-art computational algorithms and models for drug target identification, drug design, and optimization.

3. 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.

4. Collaboration: Collaborate closely with cross-functional teams, including bioinformatics, medicinal chemistry, biology, and machine learning, to integrate computational biology approaches into drug discovery projects.

5. Pipeline Development: Drive the design and execution of computational biology strategies to advance our pipeline of therapeutic candidates from target identification through preclinical development.

6. 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.

7. 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.

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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:

1. Lead Cheminformatics Strategy: Develop and implement innovative cheminformatics approaches to support drug discovery projects from target identification through lead optimization.

2. 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.

3. Compound Library Management: Oversee the curation, annotation, and maintenance of our compound libraries, ensuring data integrity and accessibility for research activities.

4. 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.

5. 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.

6. Collaborative Research: Collaborate with medicinal chemists, biologists, and other team members to design focused compound libraries, prioritize screening compounds, and optimize lead series.

7. 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.

8. 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.

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