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Evolutionary Scale Jobs (NOW HIRING)

Nvidia Corporation

Senior Compiler Engineer - AI

Austin, TX · On-site

$121K - $160K/yr

... large-scale, high-impact products. * Design and implement end-to-end compiler optimization ... Deep familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling ...

Nvidia

Senior Compiler Engineer - AI

Redmond, WA

$137K - $180K/yr

... large-scale, high-impact products. * Design and implement end-to-end compiler optimization ... Deep familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling ...

Nvidia

Senior Compiler Engineer - AI

Austin, TX

$121K - $160K/yr

... large-scale, high-impact products. * Design and implement end-to-end compiler optimization ... Deep familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling ...

NVIDIA

Senior Compiler Engineer - AI

Santa Clara, CA · On-site

$122K - $168K/yr

... large-scale, high-impact products. • Design and implement end-to-end compiler optimization ... Preferred : • Deep familiarity with reinforcement learning, genetic/evolutionary algorithms ...

NVIDIA

Senior Compiler Engineer - AI

Austin, TX · On-site

$103K - $142K/yr

... large-scale, high-impact products. • Design and implement end-to-end compiler optimization ... Preferred : • Deep familiarity with reinforcement learning, genetic/evolutionary algorithms ...

Herbalife

Sr. Flutter Developer

Los Angeles, CA · On-site

Build and scale next-generation mobile experiences by operating as an innovation engineer, not just ... evolutionary) to test user value and technical feasibility Instrument prototypes with analytics to ...

Anduril Industries

Lead Hardware Engineer

Boulder, CO · On-site

$130K - $171K/yr

... evolutionary development activities. You will help shape internal and external investment ... Transition and Scale Production: Lead the critical transition of our hardware from low-volume, hard ...

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Evolutionary Scale information

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How much do evolutionary scale jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for evolutionary scale in the United States is $17.80, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $19.71 per hour, depending on experience, location, and employer.

What is the difference between Evolutionary Scale vs Data Analyst?

AspectEvolutionary ScaleData Analyst
Required CredentialsTypically a background in evolutionary biology, genetics, or related fields; often a master's or PhDBachelor's degree in statistics, mathematics, computer science, or related fields; certifications like CAP or Microsoft Certified Data Analyst are common
Work EnvironmentResearch labs, universities, biotech companies, often in academic or research settingsBusiness environments, consulting firms, tech companies, working with data visualization and reporting tools
Employer & Industry UsagePrimarily in scientific research, academia, and biotech industriesAcross industries including finance, marketing, healthcare, and technology

While Evolutionary Scale specialists focus on biological data and research, Data Analysts interpret and visualize data to support business decisions. Both roles require analytical skills but differ significantly in their domain expertise and work environment.

More about Evolutionary Scale jobs
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What states have the most Evolutionary Scale jobs? States with the most job openings for Evolutionary Scale jobs include:
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Evolutionary Scale jobs near you
Scientist, Computational Biology

Scientist, Computational Biology

Colossal Biosciences

Dallas, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Job description

An Affiliate of Colossal is seeking a talented computational biologist with strong analytical skills to tackle challenging genotype-to-phenotype questions. The successful candidate will collaborate with scientists and engineers to design and perform bioinformatics analyses and integrate genomic, epigenomic, transcriptomic, and proteomic datasets to support de-extinction efforts. The candidate must have experience in bioinformatics, computational biology, statistics, or comparative genomics.
Preference will be given to candidates with a PhD who have demonstrated experience leveraging and interpreting machine learning / artificial intelligence frameworks to link genotype and phenotype using diverse comparative or functional genomic data and information in data-sparse or non-model organisms.
**This position will be based on-site in our Dallas, TX headquarters. Relocation assistance is available**
Duties and Responsibilities:
  • Build machine learning or artificial intelligence models using diverse, integrative datasets
  • Run comparative, functional, and statistical genomics analysis
  • Run data analysis with biological data
  • Develop new tools in R/Python for data analysis and visualization
  • Curate and document raw and intermediate data and analysis software
  • Prepare reports and presentations to communicate findings to wet-bench biologists and leadership

Required Skills and Abilities:
  • Two years of bioinformatics experience in the following areas: Applied Statistics or Machine Learning / Artificial Intelligence in Genomics, Comparative Genomics, Functional Genomics / Multi-Omics, or Molecular Evolution.
  • Demonstrated ability building and training ML/AI models linking genotype and phenotype (e.g., sequence-to-function models) and experience with the popular libraries like Pytorch, Tensorflow, or OpenCV.
  • Capable of leveraging and integrating knowledge across multiple levels of biological organization to validate the outputs of complex analyses.
  • Demonstrated 2 years of experience with scripting languages, including but not limited to: Python, R, Perl, Ruby, Java, and BASH.
  • Ability to write and run custom bioinformatics scripts using existing published tools and occasionally tools developed to summarize the results in a digestible manner and deliver the information using established reporting procedures.
  • Proficiency with handling large-scale genomic data in an HPC (SGE, SLURM, PBS) Linux and/or cloud environment (e.g. AWS, Google Cloud, Azure).
  • Experience in using GIT version control software and maintaining well-documented, reproducible notebooks and workflows.
  • Ability to design and maintain databases (MySQL, PostgreSQL, MongoDB) and connect with visual platforms to curate and share data with non-bioinformatics team members.

Preferred Skills and Abilities:
  • Developing or implementing AI/ML frameworks and systems biology networks (e.g., interpretable aka visible deep neural networks like GenNet) for genotype-to-phenotype and functional predictions
  • Executing rigorous analyses of diverse functional epigenomics approaches (e.g., RNA-seq and ATAC-seq) and integrating multi-omics datasets to aid in understanding of gene expression regulation
  • Performing evolutionary and statistical genomics analyses, including population genetics analysis (e.g., runs of homozygosity and association mapping), genome-wide scans for evolutionary signatures and selective sweeps, and comparative genomics analyses associating genotype and phenotype (e.g., PAML inference of molecular evolution and phylogenetic regression)
  • Constructing, interpreting, and utilizing pangenome graphs, whole genome alignments, and gene homology relationships
  • Calling germline and somatic sequence variants from high-coverage WGS, low-coverage WGS with imputation, and sequencing libraries from degraded or ancient DNA
  • Statistical planning and collaboration with laboratory scientists on designing well-powered experiments to generate useful multi-omics data sets
  • Understanding of precision gene editing technologies like CRISPR/Cas9 systems

Education and Experience:
  • Masters with 2 years of relevant post-graduation work experience or PhD in quantitative or basic science (computer science, computational biology, bioinformatics, chemistry, physics, or mathematics/statistics preferred) is required

What Colossal Offers Full-Time Employees:
  • Medical, dental, and vision coverage
  • Excellent paid time off and company holidays so you can rest and recharge
  • Flexible spending accounts (FSA)
  • Company matched 401k retirement plan
  • Paid parental leave at 100% salary for up to 12 weeks
  • Education reimbursement
  • An opportunity to help us return the Earth to a healthier state

The team at Colossal is committed, colorful, passionate, intelligent, collaborative, creative, experienced, scientific and world-class. That sounds like a lot to fit into one building. That's why we are spread out in several locations that include laboratories, test facilities, academic institutions, libraries and offices.
Through it all, however, we maintain a culture of positivity, hope, happiness and belief that we're doing something big. Something Colossal.
Colossal is proud to be an equal employment opportunity workplace. We welcome people from all backgrounds as well as celebrate and support diversity. We are committed to providing an inclusive environment of mutual respect that is free from discrimination and harassment so everyone can thrive.
EEO is the Law
Search Firm Representatives: Colossal does not accept unsolicited assistance from search firms. No fees will be paid for a hired candidate where no pre-existing agreement is in place. We handle most recruitment in-house.
Colossal is proud to be named a Best Place to Work by BuiltIn for 4 years in a row across multiple categories in 2023, 2024, 2025, and 2026:
  • #1 on the 50 Best Startups to Work For in Dallas in 2023!
  • 100 Best Midsize Places to Work in Dallas in 2024 & 2025
  • 100 Best Places to Work in Dallas, TX (All Size Employers) in 2024, 2025, and 2026.

Built In 2026 Award Lists
Great Place to Work Certification Page
Most Loved Workplace Certification Page - Proud to be certified as a most loved workplace including: most loved CEO, most loved workplaces for LGBTQ+, most loved workplaces for women, and most loved workplaces for young professionals.
Newsweek's Most Loved Workplaces 2024 Award List - Excited to be amongst the winners of Newsweek's 2024 Most Loved Workplaces!

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