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Bioinformatics Jobs in Bothell, WA (NOW HIRING)

Candidates should have a degree in Electrical Engineering, Computer Science, Computer Engineering, Bioinformatics, Biostatistics, or Physics, or equivalent experience, preferably an M.S. or higher.

Experience with bioinformatics analyses and pipelines. * Demonstrated ability for attention to detail. * Excellent organizational and record keeping skills. * Ability to work within a team ...

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Bioinformatics information

See Bothell, WA salary details

$66.5K

$105.6K

$167.1K

How much do bioinformatics jobs pay per year?

As of Jun 12, 2026, the average yearly pay for bioinformatics in Bothell, WA is $105,612.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $144,800.00 per year, depending on experience, location, and employer.

Is AI going to replace bioinformatics?

AI is a tool that enhances bioinformatics by automating data analysis and pattern recognition, but it is unlikely to fully replace bioinformatics professionals. Bioinformatics jobs require domain expertise, interpretation skills, and understanding of biological context that AI cannot fully replicate. Professionals in this field will continue to work alongside AI to improve research and diagnostics.

What are typical day-to-day responsibilities for someone working in bioinformatics?

A typical day in bioinformatics often involves analyzing large biological datasets, such as genomic or proteomic sequences, using specialized software and programming languages. You might spend time developing or modifying algorithms, visualizing complex data, and applying statistical methods to interpret research findings. Collaborating closely with biologists, data scientists, and clinicians is common to ensure that computational results are aligned with biological questions. Bioinformatics professionals are also expected to document their work, present findings, and stay updated with new tools and advances in the field, making for a dynamic and engaging work environment.

What is a Bioinformatics job?

A Bioinformatics job involves using computational tools and techniques to analyze biological data, such as genomic sequences, protein structures, and clinical information. Professionals in this field work at the intersection of biology, computer science, and statistics to develop algorithms, databases, and software for processing large-scale biological data. Bioinformaticians are employed in academia, pharmaceutical companies, healthcare, and biotechnology sectors to assist with research, drug discovery, and personalized medicine. Key skills include programming, data analysis, and a strong understanding of molecular biology.

What are the jobs in bioinformatics?

Jobs in bioinformatics include roles such as bioinformatics analyst, computational biologist, research scientist, and data scientist. These positions typically involve analyzing biological data using programming skills, statistical tools, and software like R or Python, often in research institutions, biotech companies, or healthcare settings.

Is bioinformatics a useful degree?

Bioinformatics is a valuable degree for careers involving computational analysis of biological data, such as genomics and drug discovery. It combines skills in biology, computer science, and data analysis, often requiring knowledge of programming languages and tools like Python or R. Graduates can work in research, healthcare, biotech, and pharmaceutical industries, where demand for data-driven biological insights is high.

What are the key skills and qualifications needed to thrive in the Bioinformatics position, and why are they important?

To thrive in bioinformatics, you need expertise in biological sciences, strong programming skills (such as Python, R, or Perl), and a solid understanding of statistics, typically supported by a degree in bioinformatics, computational biology, or a related field. Familiarity with bioinformatics databases, software tools (like BLAST, Bioconductor, or Galaxy), and experience with next-generation sequencing data analysis are highly valued. Analytical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating in interdisciplinary research environments. These skills are crucial for accurately interpreting complex biological data, developing useful computational solutions, and successfully contributing to scientific advancements.

Is bioinformatics well paid?

Bioinformatics professionals typically earn competitive salaries that vary by experience, education, and location. Entry-level positions often start around $60,000 to $80,000 annually, with experienced roles exceeding $100,000, especially in biotech and pharmaceutical industries. Skills in programming, data analysis, and familiarity with tools like Python or R can enhance earning potential.
What are the most commonly searched types of Bioinformatics jobs in Bothell, WA? The most popular types of Bioinformatics jobs in Bothell, WA are:
What are popular job titles related to Bioinformatics jobs in Bothell, WA? For Bioinformatics jobs in Bothell, WA, the most frequently searched job titles are:
What cities near Bothell, WA are hiring for Bioinformatics jobs? Cities near Bothell, WA with the most Bioinformatics job openings:
Infographic showing various Bioinformatics job openings in Bothell, WA as of June 2026, with employment types broken down into 81% Full Time, 18% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $105,612 per year, or $50.8 per hour.
Director, AI Small Molecule Drug Design

Director, AI Small Molecule Drug Design

SystImmune

Redmond, WA • On-site

Full-time

Posted 16 days ago


Job description

Job Summary:
SystImmune is a leading and well-funded clinical-stage biopharmaceutical company specializing in innovative cancer treatments. They are seeking a Director to define, build, and lead the AI-enabled small molecule design function, collaborating with chemists, biologists, and computational scientists to integrate AI-driven design into drug discovery efforts.
Responsibilities:
• Own the design, development, and optimization of AI-driven small molecule drug design pipelines, setting strategy and technical direction to predict molecular properties, enable virtual screening, and improve drug-like characteristics across programs
• Lead the application of advanced AI methodologies, including generative modeling, deep learning, and reinforcement learning, to generate novel small molecules and predict target interactions, with accountability for scientific rigor and translational impact
• Oversee and advance AI-based molecular docking capabilities (e.g., DiffDock), ensuring models are validated, scalable, and meaningfully improve binding affinity predictions, lead optimization, and virtual screening efficiency
• Partner closely with medicinal chemistry, biology, DMPK, and computational biology leaders to integrate AI methods into end-to-end drug discovery workflows, ensuring seamless transition from computational design to experimental validation
• Lead AI-enabled efforts supporting drug manufacturing and developability, including optimization of synthesis routes, yield prediction, and manufacturability assessment for small molecule drug candidates
• Direct large-scale virtual screening strategies, leveraging AI models to explore expansive chemical space, prioritize compound libraries, and identify high-quality lead candidates aligned with therapeutic objectives
• Guide interpretation of computational and AI-generated data, translating complex analyses into clear recommendations that inform decision-making around pharmacokinetics, toxicity, efficacy, and compound progression
• Drive the development, deployment, and evolution of AI-based software tools and platforms, ensuring scalability, robustness, and usability across cross-disciplinary scientific teams
• Establish standards for data integration and insight generation from large-scale chemical and biological datasets, enabling optimization of drug candidates for efficacy, safety, and pharmacokinetic profiles
• Stay at the forefront of advances in AI and computational chemistry, particularly in AI small molecule generation, molecular docking, and virtual screening, and strategically apply emerging methods to continuously improve discovery productivity
• Build, mentor, and lead a high-performing small molecule design team, fostering an inclusive, high-velocity culture while serving as a visible scientific leader internally and externally
Qualifications:
Required:
• PhD or equivalent in Computational Chemistry, Bioinformatics, Biophysics, Machine Learning or related field
• 10+ years of experience applying computational chemistry and AI to small molecule drug design, with a proven track record advancing compounds into lead and clinical stages, including hands-on expertise in AI-based molecular generation, docking, virtual screening, and manufacturability-aware design.
• Deep experience building and owning computational design platforms and workflows
• Proven track record of applying AI/ML in drug discovery
• Hands-on expertise in structure-based drug design, ligand-based design, generative methods, and predictive modeling
• Strong technical fluency in relevant tools and programming languages such as Python, R, or C++, and experience with machine learning frameworks (e.g., TensorFlow, PyTorch)
• Excellent communicator with a bias for action and delivering results
• Experience in antibody-centric modalities and multi-specific projects
• Experience scaling teams and establishing operating rhythms in early programs
• Prior success integrating design teams into cross-disciplinary drug discovery organizations
Company:
SystImmune is a biotechnology company. Founded in 2014, the company is headquartered in Redmond, USA, with a team of 51-200 employees. The company is currently Growth Stage.