Acrobat Genomics Jobs

Senior Data Scientist

Acrobat Genomics

Senior Data Scientist

Posted 4 Days Ago

Remote or Hybrid

Hiring Remotely in United States

Senior level

Remote or Hybrid

Hiring Remotely in United States

Senior level

Lead computational platform development for biological design, optimization, and functional prediction. Collaborate with wet-lab scientists to validate predictions, oversee data infrastructure and computational workflows, and contribute to technology roadmaps, funding proposals, and partnerships. The role requires developing machine learning methods for biological sequence and structure analysis, translating biological problems into computational solutions, and leading technical teams across computational and experimental disciplines.

The summary above was generated by AI

About Acrobat Genomics

Acrobat Genomics is combining its expertise in high-throughput screening, computational biology, and gene editing to develop tools for precise genetic control. We're expanding our computational capabilities to address multiple projects spanning therapeutic development and biosecurity applications.

Position

As Senior Data Scientist, you'll lead the development of our computational platforms across multiple projects and technology areas and will work closely with our wet lab scientists to drive the development of our core technology platform.

Responsibilities

Create novel approaches for biological design, optimization, and functional prediction
Collaborate with wet lab scientists to validate computational predictions
Oversee data infrastructure, pipelines, and computational workflows
Contribute to strategic planning and technology roadmap development
Support business development through technical contributions to funding proposals and partnerships

Required Qualiﬁcations

MS or PhD (or equivalent experience) in Computational Biology, Computer Science, Bioinformatics, or related field
Proven track record in developing computational methods for bioengineering
Experience with machine learning approaches for biological sequence and structure analysis
Strong programming skills in Python, with experience using frameworks like PyTorch, TensorFlow
Demonstrated ability to translate complex biological problems into computational solutions
Background in protein structure prediction, molecular modeling, or related fields
Experience leading technical teams and driving collaborative projects
Excellent communication skills and ability to work across computational and experimental domains

Why you might be a good ﬁt

Knowledge of gene editing technologies and control mechanisms
Experience with protein-protein interaction modeling
Track record of publications in relevant computational biology or machine learning venues
Prior experience in biotechnology startup environment
Experience with high-performance computing and large-scale data analysis using cloud service providers

Similar Jobs

Circle

Senior Data Scientist

7 Days Ago

In-Office or Remote

153K-205K Annually

Senior level

153K-205K Annually

Senior level

Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3

Build and evaluate fraud models for onboarding, login, account changes, and money movement. Develop labels, features, sampling strategies, thresholds, and production monitoring to detect account takeover, scams, money mules, and identity fraud. Transition third-party risk models to in-house solutions, measure model performance and drift, collaborate with fraud, risk, operations, and compliance teams, and evaluate AI agent workflows for transaction review and fraud-ring analysis.

Top Skills: Ai AgentsBlockchain AnalyticsLightgbmPythonSQLXgboost

DuckDuckGo

Senior Data Scientist

24 Days Ago

Remote

USA

179K-179K Annually

Senior level

179K-179K Annually

Senior level

Information Technology

Drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, machine learning, NLP, LLM applications, and classifier implementation. Build growth metrics, monitoring pipelines, evaluation datasets, and AI trigger systems across search and Duck.ai. Analyze privacy-constrained data, deploy production-grade models, optimize SQL queries, and lead complex projects from scoping through production with minimal direction.

Top Skills: BigQueryClickhouseDruidLlmsMachine LearningNlpPower BIPythonRedshiftSQLTableau

Block

Senior Data Scientist

26 Days Ago

In-Office or Remote

CA, USA

168K-297K Annually

Senior level

168K-297K Annually

Senior level

Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency

Build and scale first-line risk control monitoring systems using statistical analysis, automated workflows, and reusable data science modules. Define risk metrics, investigate control performance, establish thresholds and guardrails, and translate analyses into monitoring applications. Partner with risk, compliance, product, and engineering teams to improve governance, identify monitoring gaps, and support decision-making. Lead ambiguous, cross-functional initiatives while communicating findings, limitations, and recommendations to technical and executive stakeholders.

Top Skills: BigQueryGitLlmsMatplotlibPlotlyPythonSnowflakeSQL

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center