AI Jobs

Benefits:

• Health

• Vision

• Dental

• 401(k)

• Unlimited vacation policy

Education Requirements:

• Degree in Computer Science or equivalent experience

Experience Requirements:

• 4–7 years of experience in Back-End, Cloud, or DevOps

• Experience with AWS (EC2, ECS/EKS, S3, Lambda, RDS)

• Proficiency with Terraform or similar IaC tools

• Experience with Python or Node.js for backend services

• Expertise in REST, GraphQL, or gRPC APIs

Other Requirements:

• Experience with Docker and Kubernetes

• Understanding of SQL/NoSQL databases (PostgreSQL, MongoDB)

• Experience with CI/CD pipelines (GitHub Actions)

• Experience with monitoring tools (Prometheus, Grafana)

Responsibilities:

• Design and maintain scalable cloud infrastructure

• Implement robust and secure RESTful and GraphQL APIs

• Develop backend services for high-volume data ingestion

• Own and optimize CI/CD pipelines

• Enforce security best practices at the infrastructure layer

Benefits:

• Health

• Vision

• Dental

• 401(k)

• Unlimited vacation policy

Education Requirements:

• MS or PhD preferred in Computer Science, Engineering, or related field

Experience Requirements:

• 3+ years of experience shipping models into production

• Experience with deep learning frameworks: PyTorch, TensorFlow, or JAX

• Experience with computer vision libraries (OpenCV, etc.)

• Familiarity with 3D data formats like point clouds and meshes

• Experience with experiment tracking (Weights & Biases, MLFlow)

Other Requirements:

• Strong math and spatial reasoning

• Skilled in model optimization (quantization, TensorRT)

• Strong Python skills

• Familiarity with SLAM or multi-view geometry is a plus

Responsibilities:

• Design and implement deep learning models for 2D/3D detection

• Perform semantic segmentation of imagery and point clouds

• Optimize models for real-time inference and edge deployment

• Build pipelines for data preprocessing and training automation

• Collaborate with cross-functional teams to integrate models

Benefits:

• Health

• Vision

• Dental

• 401(k)

• Unlimited vacation policy

Education Requirements:

• Degree in Geomatics or a related field

Experience Requirements:

• Hands-on surveying experience (field or office)

Other Requirements:

• Strong problem-solving skills

• Clear and effective communicator

• Customer-focused mindset

• Technical documentation experience is a plus

Responsibilities:

• First point of contact for customer support and troubleshooting

• Manage support tickets and resolve technical issues

• Connect with users to gather feedback and shape the platform

• Maintain user guides and knowledge base

• Organize and analyze data for software testing and training

Benefits:

• Health

• Vision

• Dental

• 401(k)

• Unlimited vacation policy

Experience Requirements:

• 5+ years of consistent wins in technical enterprise B2B sales

• Strong familiarity with the survey, civil and construction industries

• Background in geospatial tech, reality capture, or digital mapping

• Experience with coordinate systems and accuracy discussions

• Experience with CRM tracking (such as Hubspot)

Other Requirements:

• Familiarity with survey processes

• Willingness to travel for demos and partnership discussions

• Ability to translate complex tech into real business value

Responsibilities:

• Crushing personal quota

• Building relationships with civil engineering and survey companies

• Closing complex technical deals from prospect to handoff

• Network at conferences and events to build quality leads

• Improve sales processes and deal-flow efficiency

Benefits:

• Medical insurance

Benefits:

• industry leading competitive pay

• company paid healthcare

• flexible spending accounts

• voluntary life insurance

• 401K matching

Education Requirements:

• PhD in biochemistry, cell biology, cancer biology, pharmacology, or related discipline

• MS with 7+ years of experience

• BS with 9+ years of experience

Experience Requirements:

• At least 2 - 8 years of relevant academic or industry experience for PhD holders

• Experience in cancer research, mechanism of action/resistance, or translational biomarker development

• Hands-on experience in in vivo pharmacology (PK/PD, efficacy studies)

• Oversight and coordination of in vivo studies at CROs

• Proficiency in cell and molecular biology (cell culture, ELISA, Western blotting, qPCR, flow cytometry)

Other Requirements:

• Excellent communication skills

• Ability to work collaboratively across teams

• Highly motivated to learn new technologies

Responsibilities:

• Design and develop translational studies for various programs

• Design and manage in vivo pharmacology studies at CROs

• Design and execute hands-on experiments in cell and molecular biology

• Analyze and interpret data from internal experiments and CRO deliverables

• Conduct literature reviews to support mechanism of action and biomarker strategies

Benefits:

• industry leading competitive pay

• company paid healthcare

• flexible spending accounts

• voluntary life insurance

• 401K matching

Education Requirements:

• Bachelor’s degree in Accounting, Finance, or a relevant field

• Master’s degree in Accounting, Finance, or a relevant field

Experience Requirements:

• 9–12 years of progressive experience for Bachelor holders

• 6-8 years of progressive experience for Master holders

• Experience with clinical trial accounting and R&D cost tracking (preferred)

• Prior experience overseeing month-end close and financial statement preparation

• Experience with NetSuite (highly desired)

Other Requirements:

• CPA certification required

• Strong working knowledge of U.S. GAAP

• Proficiency in Microsoft Office with advanced knowledge of Excel

Responsibilities:

• Lead and oversee monthly, quarterly and annual close processes

• Conduct complex account reconciliations and oversee the general ledger

• Research and manage technical accounting matters

• Develop, implement and maintain internal controls and SOX compliance

• Lead the preparation of annual audits

Benefits:

• industry leading competitive pay

• company paid healthcare

• flexible spending accounts

• voluntary life insurance

• 401K matching

Education Requirements:

• PhD or equivalent degree in computational chemistry (or related field)

Experience Requirements:

• 5+ years of experience working in an industry drug discovery environment

• Experience supporting active small molecule drug discovery programs

• Experience with ligand and structure based design tools

• Experience with MD simulation and advanced binding affinity prediction methods (preferred)

• Experience with ML-augmented small molecule discovery (preferred)

Other Requirements:

• Python programming skills

• Familiarity with MOE molecular modeling package (preferred)

• Proactive drug-hunter mindset

Responsibilities:

• Apply ligand and structure-based approaches across hit identification and lead optimization

• Guide design cycles through SAR identification and bioactivity data integration

• Partner with medicinal chemists to prioritize virtual libraries

• Partner with ML scientists to integrate SBDD methods with property prediction technology

• Leverage and evolve proprietary protein-ligand co-folding technology

Benefits:

• industry leading competitive pay

• company paid healthcare

• flexible spending accounts

• voluntary life insurance

• 401K matching

Education Requirements:

• BS in Chemistry with 5+ years experience (pharma/biotech)

• MS in Chemistry with 3+ years experience (pharma/biotech)

Experience Requirements:

• Proven skills in multi-step organic synthesis and reaction optimization

• Experience in SAR analysis and scientific presentation

• Prior exposure to high-throughput experimentation (preferred)

• Familiarity with ADME-PK principles (preferred)

• Experience with molecular modeling and structure-based drug design (preferred)

Other Requirements:

• Ability to thrive in a fast-paced, highly collaborative research environment

• Availability to work onsite in San Diego

Responsibilities:

• Design, synthesize, purify, and characterize chemical compounds (10 mg–5 g scale)

• Identify and optimize reaction conditions using screening kits

• Collaborate with the high-throughput experimentation team

• Analyze biological and ADME-PK data using cheminformatics tools

• Partner with computational chemists to leverage machine learning insights

Benefits:

• industry leading competitive pay

• company paid healthcare

• flexible spending accounts

• voluntary life insurance

• 401K matching

Education Requirements:

• Ph.D., M.D., or equivalent advanced degree in cancer biology, molecular biology, pharmacology, computational biology, or a related discipline

Experience Requirements:

• Typically 12–20+ years of relevant experience in biotech or pharma

• Success advancing at least one oncology program into clinical development

• Deep expertise in translational science (biomarkers, MoA, resistance, combination biology)

• Experience working with large, complex translational and/or clinical datasets

• Track record of leading cross-functional teams

Other Requirements:

• Strong working knowledge of AI/ML concepts as applied to drug discovery

• Excellent scientific storytelling and communication skills

Responsibilities:

• Lead Portfolio-Level Translational Strategy

• Define Biomarker & Patient Selection Strategy

• Direct Mechanism of Action, Resistance & Combination Biology

• AI/ML-Enabled Translational & Clinical Prediction

• Build and Lead a High-Impact Organization

Benefits:

• industry leading competitive pay

• company paid healthcare

• flexible spending accounts

• voluntary life insurance

• 401K matching

Education Requirements:

• PhD or equivalent degree in chemistry or another physical science

• PhD or equivalent degree in computational chemistry or machine learning in chemistry (preferred)

Experience Requirements:

• 3+ years of experience

• Familiarity with using statistical analysis techniques to adapt models

• 3+ years of experience working in a drug discovery project (preferred)

Other Requirements:

• Python programming skills

• Knowledge of statistics and drug discovery

• Excellent written and verbal communication skills

Responsibilities:

• Train, fine-tune, and evaluate machine learning models

• Partner with computational and medicinal chemists for decision-making

• Generate value from machine learning models for internal and partner use

• Communicate results with internal drug discovery teams

• Support the evolution of machine learning models with analytical feedback

Benefits:

• Bonusplan

• Mogelijkheid om extra vakantiedagen bij te kopen

• Prima pensioenplan

• Goed thuiswerkbeleid

• Mogelijkheid om bedrijfsaandelen te kopen met 15% korting

Education Requirements:

• HBO-nivo, door kennis en/of ervaring

Experience Requirements:

• Inzicht van netwerken en kennis van scada systemen

• Diepgaande (programmeer) kennis van PLC’s

• Grondig inzicht in de functie van PLC’s in facilitaire installaties

• Ruime ervaring met de meet- regelaspecten van facilitaire installaties

Other Requirements:

• Bereidheid om mee te draaien in een meet- en regel consignatiedienst

• Kosten bewust

Responsibilities:

• Beheren van de procesbesturingen (M&R kasten) t.b.v. alle Facilitaire installaties

• Beheer van Netwerk en Scada systemen (GBS)

• Beheerder van hardware Security systemen

• Participeren in projecten

• Draagt zorg voor veiligheid, gezondheid, welzijn en milieu (VGWM)

Education Requirements:

• MBO technical education at WEB 4 level

• Bachelor-level working and thinking skills

Experience Requirements:

• 3 to 5 years of demonstrable relevant work experience in the field

• Knowledge of equipment and process‑related aspects of the semiconductor industry

• Experience with lithography-based processing

Other Requirements:

• Dutch language is a must

• Proficiency in English

• Available outside regular working hours

Responsibilities:

• Creating, maintaining, and optimizing scanner and stepper jobs

• Maintain and modify existing jobs to address product or process changes

• Maintain up-to-date procedures meeting safety and quality requirements

• Coordinate quality related escalations to customers

• Define required quantity and secure availability of production tools

Benefits:

• competitive pay

• company paid healthcare

• flexible spending accounts

• voluntary life insurance

• 401K matching

Education Requirements:

• Ph.D., M.D., or equivalent advanced degree in cancer biology, molecular biology, pharmacology, computational biology, or a related discipline.

Experience Requirements:

• Typically 12–20+ years of relevant experience in biotech or pharma, with progressive leadership responsibility.

• Demonstrated success advancing at least one oncology program into clinical development.

Other Requirements:

• Deep expertise in translational science, including biomarker strategy, MoA, resistance, and combination biology.

• Proven experience working with large, complex translational and/or clinical datasets.

• Strong working knowledge of AI/ML concepts as applied to drug discovery and development.

• Excellent scientific storytelling and communication skills.

Responsibilities:

• Lead Portfolio-Level Translational Strategy

• Define Biomarker & Patient Selection Strategy

• Mechanism of Action, Resistance & Combination Biology

• AI/ML-Enabled Translational & Clinical Prediction

• Build and Lead a High-Impact Organization

Benefits:

• competitive pay

• company paid healthcare

• flexible spending accounts

• voluntary life insurance

• 401K matching

Education Requirements:

• PhD in biochemistry, cell biology, cancer biology, pharmacology, or related discipline

• MS with 7+ years of experience

• BS with 9+ years of experience

Experience Requirements:

• 2 - 8 years of relevant academic or industry experience (PhD)

• Experience in cancer research, mechanism of action/resistance, or translational biomarker development

• Hands-on experience in in vivo pharmacology

Other Requirements:

• Strong proficiency in cell and molecular biology

• Experience developing and troubleshooting biochemical and cell-based assays

• Excellent communication skills

Responsibilities:

• Work closely with Biology group to design translational studies

• Design and manage in vivo pharmacology studies at CROs

• Design and execute hands-on experiments in cell and molecular biology

• Analyze and interpret data from internal experiments and CRO deliverables

• Conduct literature reviews to support biomarker strategies

Benefits:

• competitive pay

• company paid healthcare

• flexible spending accounts

• voluntary life insurance

• 401K matching

Education Requirements:

• BS in Chemistry

• MS in Chemistry

Experience Requirements:

• 5+ years experience (pharma/biotech) for BS

• 3+ years experience (pharma/biotech) for MS

• 5+ years of experience contributing to drug discovery projects

Other Requirements:

• Proven skills in multi-step organic synthesis

• Reaction optimization and SAR analysis skills

• Ability to thrive in a fast-paced environment

• Familiarity with ADME-PK principles

Responsibilities:

• Design, synthesize, purify, and characterize chemical compounds

• Identify and optimize reaction conditions

• Collaborate with the high-throughput experimentation team

• Analyze biological and ADME-PK data

• Partner with computational chemists

Benefits:

• competitive pay

• company paid healthcare

• flexible spending accounts

• voluntary life insurance

• 401K matching

Education Requirements:

• PhD or equivalent degree in computational chemistry (or related field)

Experience Requirements:

• 5+ years of experience working in an industry drug discovery environment

• Experience supporting active small molecule drug discovery programs

• Experience with ligand and structure based design tools

Other Requirements:

• Python programming

• Familiarity with MOE molecular modeling package

• Familiarity with MD simulation and advanced binding affinity prediction methods

• Experience with ML-augmented small molecule discovery

Responsibilities:

• Apply ligand and structure-based approaches across drug discovery phases

• Guide design cycles through SAR identification

• Partner with medicinal chemists to prioritize virtual libraries

• Partner with ML scientists to integrate SBDD methods

• Leverage proprietary protein-ligand co-folding technology

Benefits:

• competitive pay

• company paid healthcare

• flexible spending accounts

• voluntary life insurance

• 401K matching

Education Requirements:

• PhD or equivalent degree in chemistry or another physical science

Experience Requirements:

• 3+ years of experience or commensurate degree and job experience

• 3+ years of experience working in a drug discovery project

Other Requirements:

• Python programming

• Statistics knowledge

• Familiarity with using statistical analysis techniques to evaluate models

• Excellent written and verbal communication skills

Responsibilities:

• Train, fine-tune, and evaluate machine learning models

• Partner with computational chemists, medicinal chemists and biologists

• Generate value from machine learning models internally and for partners

• Communicate results with internal drug discovery teams

• Support evolution of ML models by gathering analytical feedback

Benefits:

• Chef-prepared lunch and dinner

• On-site gym and yoga studio

• 24/7 access to the comma fleet of cars

• Health, dental, and vision insurance

• Flexible time off

Education Requirements:

• No traditional background or school requirement

Experience Requirements:

• Experience building computers

• Good debugging skills

• Detail orientedness

Responsibilities:

• Maintain the comma compute cluster

• Maintain the comma fleet

Benefits:

• Chef-prepared lunch and dinner

• On-site gym and yoga studio

• 24/7 access to the comma fleet of cars

• Health, dental, and vision insurance

• Flexible time off

Education Requirements:

• No traditional background or school requirement

Experience Requirements:

• Relevant experience required

Responsibilities:

• Run the comma factory's circuit board line