AI Jobs

Education Requirements:

• BSc. or College Diploma in Analytical chemistry or related subject

Experience Requirements:

• Minimum of 3 years of related experience directly involved in LC-MS/MS system

Other Requirements:

• Knowledge of supporting instrument software and computer systems

• Problem solving skills for complex bioanalytical research

• Good interpersonal skills and professional attitude

Responsibilities:

• Conduct analytical projects using LC-MS/MS equipment

• Perform basic preventive maintenance and repair of LC-MS/MS instruments

• Process bioanalytical runs and complete applicable paperwork

• Coordinate repairs and service appointments with vendors

• Provide advice and advanced level training to bioanalytical chemists

Education Requirements:

• B.Sc. or College Diploma in Analytical chemistry or related subject

Experience Requirements:

• Minimum of 1-3 years of related experience

• Experience working under GxPs

Other Requirements:

• Working knowledge of computers

• Ability to lift up to 50 lbs. and stand for extended periods

• Flexibility to work outside of contracted hours and weekends

Responsibilities:

• Sample accession including receiving, storage, and tracking

• Manage supply chain and lab supply inventories

• Perform method validation and biostudy analysis tasks

• Generate analytical test results in compliance with SOPs

• Record raw data promptly and accurately per GLP principles

Education Requirements:

• MD or equivalent medical degree

Experience Requirements:

• 2-5+ years of experience in clinical practice, medical education, or medical affairs

• Experience supporting or managing rare and/or complex chronic disease pathways

Other Requirements:

• Strong communication and presentation skills

• Fluency in English

• Familiarity with clinical decision support tools or EMR-derived insights

• French bilingualism is an asset

Responsibilities:

• Support physicians managing patients through the Clinical Decision Support Platform

• Provide education on disease states and diagnostic pathways

• Facilitate case-based discussions to support interpretation of clinical signals

• Manage an assigned portfolio of physician users with structured outreach

• Develop disease-specific educational materials and resources

Education Requirements:

• BA or BS with a science or related background

Experience Requirements:

• Experience in data entry or Data Management activities

• Knowledge of clinical trial processes

• Experience in ICH GCP and GCDMP (SCDM)

Other Requirements:

• Understanding of database structures and database programming

• Knowledge of CDISC standards (CDASH and SDTM)

• Proficiency in MS Office and email applications

• Strong analytical and problem solving skills

Responsibilities:

• Setup, documentation, and implementation of clinical study databases

• Contribute to development and testing of Phase I and BA/BE clinical study data

• Review and contribute to protocols from a data management perspective

• Design and review eCRFs according to study protocol

• Create, review, and process data queries

Education Requirements:

• PhD candidate

Other Requirements:

• EU-funded

Responsibilities:

• Kidney Research

• Computational biology

Education Requirements:

• PhD candidate

Other Requirements:

• EU-funded

Responsibilities:

• Prostate Research

• Computational biology

Benefits:

• Opportunity to work on impactful, data-centric projects

• Exposure to both data analytics and data science practices

• Gain hands-on experience with cutting-edge technologies

• Collaborative and growth-oriented work environment

Education Requirements:

• Currently pursuing or recently completed a degree in Computer Science, Data Science, Statistics, or a related field

Experience Requirements:

• Basic knowledge of data analytics concepts and methods (e.g., statistical analysis, data visualization)

• Proficiency in data analysis tools such as Excel, SQL, and Python (Pandas, NumPy, etc.)

Other Requirements:

• Strong problem-solving skills and attention to detail

• Ability to work independently and in a team environment

• Excellent communication skills with the ability to present data findings clearly

• Knowledge of data visualization tools (e.g., Tableau, Power BI) and PostgreSQL is a Bonus

• A willingness to learn new tools and technologies in data science

Responsibilities:

• Assist in the collection, processing, and cleaning of large datasets to ensure data quality and integrity

• Perform basic data analysis using tools such as Excel, SQL, and Python to generate actionable insights

• Support the development and testing of machine learning models under guidance

• Work closely with engineering and business teams to identify opportunities for data-driven improvements

• Contribute to the preparation and presentation of data reports and dashboards

Benefits:

• Flexible smart working policies

• Annual retreat for the team in an awesome location

• Professional development under the lead of a senior member

• Free coffee and snacks

• Office kitchen and common spaces

Education Requirements:

• Master’s degree or PhD in Engineering, Computer Science, Statistics, Physics, Mathematics, or related technical fields

Experience Requirements:

• 2+ years of work experience in a industry, university, or government lab

• Strong skills in statistical modeling and machine learning

• Relevant coding experience in programming languages such as Python

Other Requirements:

• Excellent teamwork skills are a must

• Creativity and ability to formulate problems and solve them

• Willing to work towards long-term ambitious research goals

Responsibilities:

• Researching, designing and implementing machine learning algorithms

• Selecting appropriate datasets and data representation methods

• Running machine learning tests and performing statistical analysis

• Present results using intuitive data visualizations

• Extending existing AI/ML libraries and frameworks

Benefits:

• Flexible smart working policies

• Annual retreat for the team in an awesome location

• Professional development under the lead of a senior member

• Free coffee and snacks

• Office kitchen and common spaces

Education Requirements:

• Master’s degree or PhD in Engineering, Computer Science, Statistics, Physics, Mathematics, or related technical fields

Experience Requirements:

• 1+ years of work experience in a industry, university, or government lab

• Strong skills in statistical modeling and machine learning

• Relevant coding experience in programming languages such as Python

Other Requirements:

• Excellent teamwork skills are a must

• Creativity and ability to formulate problems and solve them

• Willing to work towards long-term ambitious research goals

• Fluent in English both spoken and written

Responsibilities:

• Work on data analytics projects using internal tools and Python

• Research and deliver insights related to risk exposures and quantitative analysis

• Evaluating and interpreting the outputs of the models

• Producing clear written summaries of research results

Experience Requirements:

• Proven experience as a Data Scientist or a similar role in the tech industry

Other Requirements:

• Proficiency in SQL, Python, R

• Experience with data visualization tools like Tableau or Power BI

• Detail-oriented

Responsibilities:

• Analyzing data generated from the extension (code, test analysis, coverage, usage)

• Driving data-driven decisions to enhance the product

• Providing actionable insights to the development team

Benefits:

• Competitive salary

Education Requirements:

• PhD or equivalent experience in robotics, machine learning, or computer science

Experience Requirements:

• Demonstrated ability to do high-quality scientific research at top venues

• Deep expertise in Program Synthesis and Neuro-symbolic Methods

• Strong mathematical and computational foundations

• Comfortable working across the research-to-deployment pipeline

Other Requirements:

• Intellectual curiosity and autonomy

Responsibilities:

• Develop computational theories of intelligence specific to program synthesis

• Design and implement novel algorithms for embodied AI

• Collaborate across specializations to integrate world modeling with planning

• Validate research on physical robotic systems

• Develop and maintain open-source software

Benefits:

• Competitive salary

• Bonuses

Education Requirements:

• PhD or equivalent experience in technical areas such as statistics, ML, or cognitive science

Experience Requirements:

• Demonstrated ability to do high-quality scientific research via publications or software projects

• Technically excellent and values probing concepts at foundations

Other Requirements:

• Excited about solving real world problems and having positive societal impact

Responsibilities:

• Develop and explore computational theories of intelligence

• Work as a team member to help solve scientific and societal problems

• Distill insights into general mathematical and computational theories

• Develop and maintain open-source software

• Contribute to the culture and direction of Basis

Benefits:

• Competitive salary

• Bonuses

Education Requirements:

• PhD or equivalent experience in a relevant area

Experience Requirements:

• Ability to conduct first-class scientific research published in venues like PLDI, OOPSLA, and POPL

• Ability to write excellent software

• Significant technical achievements within PL research and engineering

Other Requirements:

• Excited about solving real-world problems

Responsibilities:

• Design, implement, and maintain programming languages tools

• Develop and explore computational theories of intelligence

• Collaborate with domain experts on challenge problems

• Publish and present findings in journals and conferences

• Contribute to the culture and direction of Basis

Benefits:

• Competitive salary

Education Requirements:

• PhD in computer science, AI, machine learning, or cognitive science

Experience Requirements:

• Strong background in RL, planning, MDPs, and optimal control

• Experience in developing AI systems combining neural and symbolic methods

• Demonstrated track record in scientific research

Other Requirements:

• Interest in foundational AI research

Responsibilities:

• Conduct research focused on the MARA project

• Develop new methods for reinforcement learning and planning

• Apply methods to challenges like AutumnBench and robotics

• Disseminate findings through academic publications

• Provide mentorship to junior team members

Benefits:

• Annual research funds of $5,000

• Skill development support

• Conference attendance funding

Education Requirements:

• PhD in computer science, AI, machine learning, or related fields

Experience Requirements:

• Demonstrated track record in scientific research evidenced through publications

Other Requirements:

• Requires submission of a research proposal

Responsibilities:

• Conduct independent and collaborative research on computational theories of intelligence

• Disseminate research findings through academic publications

• Engage in knowledge transfer and convert research into algorithms

• Provide mentorship to junior team members

• Contribute code to Basis core technology

Benefits:

• Competitive with leading postdoctoral fellowships

• Travel funded by Basis for in-person events

Education Requirements:

• PhD in neuroscience, cognitive science, behavioral science, or AI

Experience Requirements:

• Experience in behavioral modeling using AI/ML techniques

• Experience with multi-agent animal communication or environmental modeling

• Strong programming skills

• Demonstrated track record in scientific research

Other Requirements:

• Willingness to travel periodically for Basis-wide events

Responsibilities:

• Conduct research focused on the Collaborative Intelligent Systems project

• Analyze multi-agent multi-species behavioral data

• Coordinate research with collaborators and core tech team

• Disseminate findings through open-source code and publications

• Provide mentorship to junior team members

Benefits:

• Competitive salary

Education Requirements:

• PhD in computer science, AI, machine learning, or cognitive science

Experience Requirements:

• Strong background in program synthesis, probabilistic programming, and AI reasoning

• Experience developing AI systems combining neural and symbolic methods

• Demonstrated track record in scientific research

Other Requirements:

• Excited about solving real world problems

Responsibilities:

• Conduct research focused on the MARA project

• Develop new methods for modeling, abstraction, and reasoning

• Apply methods to challenges like AutumnBench and ARC

• Disseminate findings through publications and presentations

• Provide mentorship to junior team members

Education Requirements:

• Ph.D. in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related field

Experience Requirements:

• 3-5 years of relevant experience in Industry or a relevant academic lab in a Post-doc position

• Proficiency in Python programming language

• Experience in analyzing scRNA-seq data

• Strong publication record

Other Requirements:

• Expertise in cancer biology

• Strong background in statistics, machine learning, and data visualization

• Familiarity with cloud computing platforms and version control systems (e.g., Git)

Responsibilities:

• Collaborate with the biology team, senior management, informatics team, and partners to analyze data and derive insights

• Design, implement, and optimize computational pipelines for analyzing large-scale single-cell RNA sequencing (scRNA-seq) datasets

• Develop and apply novel statistical and machine learning approaches to identify cell types and states

• Integrate scRNA-seq data with other omics data to enhance understanding of cellular heterogeneity

• Stay up-to-date with developments in single-cell genomics and data science to contribute to the scientific community