Computational Biologist
CurrentBuilding computational tools to help bring single cell sequencing to the masses
Oct 2019 - Present
AeroLeads people directory · profile
Ryan Koehler Email & Phone Number
Computational Biologist
at
Parse Biosciences
2 work emails found
@verdascend.com
2 phones found area 503
LinkedIn matched
✓ Verified Jul 2026
4 data sources
Profile completeness 100%
Current company
Role
Computational Biologist
Location
Portland, Oregon Metropolitan Area, United States
Who is Ryan Koehler? Overview
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Quick answer
Ryan Koehler is listed as Computational Biologist at Parse Biosciences, based in Portland, Oregon Metropolitan Area, United States. AeroLeads shows a work email signal at verdascend.com, phone signal with area code 503, and a matched LinkedIn profile for Ryan Koehler.
Ryan Koehler previously worked as Scientific Research Consultant & Contractor at Verdascend Sciences and Instructor at Uc San Diego Extended Studies. Ryan Koehler holds Phd, Chemistry (Organic / Computational) from University Of California, Santa Cruz.
Company email context
Email format at Parse Biosciences
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{first}.{last}@verdascend.com
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Profile bio
About Ryan Koehler
Scientist specializing in biotechnology. I work on transforming complex data into understanding, using computational tools to accomplish this, and helping others to do the same. Expertise centers on bioinformatics, genomics, chemistry, computer science, university-level curriculum development and instruction. My professional goals combine science, software & teaching, to improve the understanding and utility of science-driven systems, for example in biotechnology or teaching domains. More pragmatically, any work requiring skills and hands-on ability in bioinformatics, data analysis / machine learning, computer programming, chemistry or teaching could be a good fit.Specialties: • Bioinformatics: Assay / molecular design; Oligo thermodynamics; Genomics; Next-generation sequencing.• Data analysis: Python, Pandas, R scripts; Data mining, feature selection, machine learning.• Software engineering: Algorithm / script / pipeline development; Programming (C, Python, Bash); Linux admin• Computer chemistry: Cheminformatics; Modeling / docking; Property prediction; Library design. • Teaching: Course curriculum development, design; Classroom, Lab, Online.
Listed skills include Bioinformatics, Genomics, Assay Development, Biotechnology, and 49 others.
Current workplace
Ryan Koehler's current company
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8 roles · 23 years
Ryan Koehler work experience
A career timeline built from the work history available for this profile.
Scientific Research Consultant & Contractor
Consulting & contract projects.• Bioinformatics: Assay and oligo design, evaluation, troubleshooting and QC; Genomic data processing, data mining, feature selection, machine learning & model building.• Technical and strategic consulting. Evaluation of current / possible molecular systems, novel assays, etc; Review of manuscripts, literature, invention and potential patent positions; Concept simulation and modeling experiments.• Software engineering: (Python / Pandas, C/C++, Perl, shell) Process automation and scripting; Algorithm design and code writing, troubleshooting and refactoring; Database modeling, design and implementation; Documentation and technical writing.
Instructor
• Genomic Sequencing Technologies (UCSD Extension BIOL-40237)Developed and teach on-line course covering sequencing chemistry, bioinformatics, targeted work flows, challenges and potential medical applications.• Bioinformatics (UCSD Extension BIOL-40236)Developed and teach on-line course covering classic bioinformatics (e.g. literature searches, sequence alignments) and newer developing applications (e.g. next-gen sequencing).
Principal Scientist, Bioinformatics
• NGS data analysis, troubleshooting, diagnostic experimental design and analysis• Designed and refined probes for targeted NGS somatic (cancer) variant detection system.• Designed custom assays, analysis tools and pipelines to support R&D, including simulations and machine learning.• Assay optimization and troubleshooting via directed experiments and analysis; Bioinformatics lead
Oct 2015 - Jun 2019
Staff Scientist, Bioinformatics
• Designed hundreds of custom assays, building ddPCR content and streamlining R&Dexperiments. Wide range of targets and customer applications.• Computational process development. Thermodynamic models via machine learning.• Patents, publications, customer presentations. QuantaLife Droplet Award.
Nov 2010 - Feb 2013
Staff Scientist, Bioinformatics
• Architect and bioinformatics lead for assay design pipeline software (TaqMan and SNPlex). Systems have generated millions of quality assays and millions of dollars in revenue.• Scientific manager and mentor. My group focused on software tool development, experimental data analysis, sequence-based data mining and rule discovery.• Team contributor on multiple projects, furnishing expert advice, hands-on code and data manipulation, simulations and decision support work for management.• Implemented pipelines for investigational assays and data analysis protocols, including discovery of copy number variants in SOLiD next generation sequencing data.• Invented algorithms and software addressing nucleotide thermodynamics, tag sequence selection, multiplex partitioning, sequence analysis and data mining challenges.• Software tools and methods have yielded product lines, trade secrets, patents, publications. Numerous invention disclosures, DNA awards, Trade Secret of the Year award.
Oct 1999 - Jan 2009
Associate Professor
* Advanced Bioinformatics / Chemoinformatics. Drug discovery focus covering protein targeting, structural docking and scoring, SAR development, general and focused chemical library design.Composed original course content and lecture materials, emphasizing job market needs and requiring team project participation.
2004 - 2005
~1 yr
Scientist, Computational Chemistry
Telik, Inc.
* Supported drug discovery group with molecular modeling, target protein and binding site analysis, chemical and patent database work, virtual screening, compound prioritization.* Physico-chemical property predictions to guide medicinal chemistry efforts with prioritization and modification of drug leads.* Created web interface system to company compound and binding assay databases.* Devised general framework for chemical library design and prioritized acquisition.* Used docking simulations to emulate and rationalize protein affinity fingerprints. * Derived anti-cancer QSAR models using molecular modeling and protein alignments.
Oct 1995 - Oct 1999
2 education records
Ryan Koehler education
Phd, Chemistry (Organic / Computational)
University Of California, Santa Cruz
Bs, Biochemistry
University Of California, Davis
FAQ
Frequently asked questions about Ryan Koehler
Quick answers generated from the profile data available on this page.
What company does Ryan Koehler work for?
Ryan Koehler works for Parse Biosciences.
What is Ryan Koehler's role at Parse Biosciences?
Ryan Koehler is listed as Computational Biologist at Parse Biosciences.
What is Ryan Koehler's email address?
AeroLeads has found 2 work email signals at @verdascend.com for Ryan Koehler at Parse Biosciences.
What is Ryan Koehler's phone number?
AeroLeads has found 2 phone signal(s) with area code 503 for Ryan Koehler at Parse Biosciences.
Where is Ryan Koehler based?
Ryan Koehler is based in Portland, Oregon Metropolitan Area, United States while working with Parse Biosciences.
What companies has Ryan Koehler worked for?
Ryan Koehler has worked for Parse Biosciences, Verdascend Sciences, Uc San Diego Extended Studies, Toma Biosciences, and Quantalife / Bio-Rad.
How can I contact Ryan Koehler?
You can use AeroLeads to view verified contact signals for Ryan Koehler at Parse Biosciences, including work email, phone, and LinkedIn data when available.
What schools did Ryan Koehler attend?
Ryan Koehler holds Phd, Chemistry (Organic / Computational) from University Of California, Santa Cruz.
What skills is Ryan Koehler known for?
Ryan Koehler is listed with skills including Bioinformatics, Genomics, Assay Development, Biotechnology, Data Mining, Molecular Biology, Pcr, and Dna.
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