What You Will Contribute To Altos

An exciting opportunity is available for a Scientist II to join the Larrieu group at Altos Labs, Cambridge Institute of Science (Cambridge, UK). At Altos, the Larrieu lab is exploring both fundamental questions and translational opportunities. We are seeking a very highly motivated, versatile, creative, and collaborative individual, who is passionate and dedicated about employing their expertise to unravel the deep biology of cell health and resilience. This includes the elucidation of the mechanism of action of specific interventions that can reverse, halt or mitigate the effects of ageing on cell health. 

Responsibilities

• Elucidate processes that contribute to the age-related erosion of cell/tissue resilience.
• Engage in ground-breaking and innovative science and in Altos scientific activities.
• Develop project-specific experimental strategies, techniques, and procedures including new assays and pipelines to support translational projects.
• Lead, design and execute in vitro and in vivo experiments for identification and validation of targets with therapeutic potential
• Develop and implement biochemical and cellular assays to support screening and characterization of potential candidate therapies
• Collaborate widely across Altos to multiply efforts, gain insight into the centrality of the nuclear envelope in ageing and identify potential new therapeutic avenues          
• Collaborate with multidisciplinary teams including chemists, pharmacologists, and bioinformaticians to advance drug discovery projects.
• Present data to a variety of audiences including senior executives through entry-level employees.

Who You Are

Minimum Qualifications

• PhD in life sciences with 3-5 years of relevant postdoc/industry experience
• Extensive experience in mammalian cell culture (including primary cells).
• Strong background in molecular and cell biology with experience in assay development and validation, to support pre-clinical studies.
• Experience in small rodent handling, with an ability to independently design and coordinate the execution of complex in vivo studies, including drug administration, tissue harvest and processing.
• Strong sense of collective ownership of projects within the group and Altos.
• Critical, visionary, and creative thinking with an ability to formulate scientific questions, design strategies, and implement plans effectively.
• Strong organizational skills to manage multiple tasks simultaneously, prioritize workloads, and meet deadlines.
• High level of rigor and precision in experimental procedures, data recording, and documentation.
• Problem-solving skills to identify potential issues, test, and develop innovative solutions.
• Excellent writing and communication skills
• Ability to maintain cooperative working relationships with a broad range of people, including staff colleagues, lab members and the community

Preferred Qualifications 

• Understanding of in vivo delivery systems such as AAV, LNP, lentivirus etc.
• Biochemistry skills, including biochemical and enzymatic assay development
• Some proficiency in R and Python to support data analysis
• Prior industry experience

The salary range for Cambridge, UK:

• Scientist II, Biological Sciences: £61,400 - £80,800

Exact compensation may vary based on skills, experience, and location.

#LI-NN1

For UK applicants, before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

Who We Are

Calico (Calico Life Sciences LLC) is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to increase our understanding of the biology that controls human aging. Calico will use that knowledge to devise interventions that enable people to lead longer and healthier lives. Calico’s highly innovative technology labs, its commitment to curiosity-driven discovery science and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs.

The Calico Postdoctoral Fellowship Program

We are seeking ambitious early career scientists to join us in our mission to increase our understanding of the biology that controls human aging. This is a unique opportunity for individuals to distinguish themselves in aging research, deepen scientific training, and develop research independence.

The Postdoctoral Fellowship is a fixed-term educational assignment (three years with a potential fourth year extension) with rolling start dates. Postdoctoral Fellows are fully integrated into Calico's labs and community.

The program is designed to train individuals to become independent investigators in an academic or industry setting upon successful completion of the assignment. Fellows will receive regular feedback and guidance from their mentor(s) and participate in a formal annual review process to review project progress and individual performance and provide career coaching. 

Responsibilities

• Lead Independent Research: Focus on their own project(s), which should pursue new research directions with dedicated resources for innovative and potentially high-risk/high-reward research
• Contribute to Calico’s Core Mission: Contribute to furthering an understanding of aging and age-related diseases
• Drive Scientific Progress: Execute experiments meticulously, analyze data (including computational analysis if applicable) and troubleshoot procedures as needed
• Publish Work: Generate work that is expected to be submitted for publication in a timely fashion upon completion of the assignment
• Collaborate and Communicate: Actively collaborate across Calico's diverse teams and scientific community, including presenting progress and results to diverse audiences of computational scientists, lab scientists, and engineers
• Professional Development: Engage with a community of other Postdoctoral Fellows and senior leadership through professional and career development opportunities, such as the annual Postdoc Summit, research-in-progress presentations, senior leader lunch sessions, and skill-building workshops

Position Requirements

The successful candidate will demonstrate characteristics valued across Calico's programs, including being a self-motivated team player, detail-oriented, extremely organized, and comfortable working on complex problems.

• Education: Must have recently completed a PhD degree in a relevant scientific or computational field
• Current PhD student applicants should be within 12 months of completing their PhD
• Applicants who have already graduated must have completed their PhD within the past 3 years and not have been employed as a postdoc at more than one other lab/company since graduation
• Experience: Must have made important contributions to science in their area, ideally demonstrated by having had a meaningful first author paper accepted for publication
• Technical Versatility (General): While specific technical skills are project-dependent, proficiency in core scientific methodologies, analytical skills, and quantitative problem-solving is essential
• Communication: Strong teamwork and communication skills are required
• Adaptability: Must be flexible and able to respond quickly to shifting priorities, demonstrating a "can-do" attitude
• Onsite Availability: Must be willing to work onsite five days per week

Application Requirements

The Postdoctoral Fellowship has four application components:

• Research proposal (a 1-2 page creative and original research proposal on what you’d like to investigate in the Jan Lab during your fellowship - note that project goals may evolve during the training period)
• Updated CV with a full list of publications
• Cover letter
• List of 2-3 references that we may contact, including your PhD thesis advisor and any postdoctoral advisors (if applicable)

The estimated base salary for this role is $95,000. More information on our postdoctoral fellowship program can be found here.

About the Jan Lab

We are interested in understanding the causes of Parkinson’s Disease and seek to use this knowledge to identify disease-modifying targets.  We collaborate broadly to integrate genetic, genomic and biomarker data from idiopathic PD patients to develop novel hypotheses and to guide the development of cellular and in vivo models of PD-related cell states in which we can test these hypotheses.  We also develop and deploy a variety of functional genomics tools to interrogate these systems using both biochemically-precise phenotypic screens and holistic cell state screens based on representation learning of morphological and transcriptomic data.

We are currently welcoming applicants interested in understanding the cellular mechanisms that drive neurodegenerative processes.

Publications from the group include:

• David Harris & Calvin Jan, CRISPuRe-seq: pooled screening of barcoded ribonucleoprotein reports reveals regulation of RNA polymerase III transcription by the integrated stress response via mTOR (2025) Nucleic Acids Research
• Meraj Ramezani et al., A genome-wide atlas of cell morphology (2025) Nature Methods
• John Yong el al., Impairment of lipid homeostasis causes accumulation of protein aggregates in the lysosome (2024) eLife

Who We Are

Calico (Calico Life Sciences LLC) is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to increase our understanding of the biology that controls human aging. Calico will use that knowledge to devise interventions that enable people to lead longer and healthier lives. Calico’s highly innovative technology labs, its commitment to curiosity-driven discovery science and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs.

The Calico Postdoctoral Fellowship Program

We are seeking ambitious early career scientists to join us in our mission to increase our understanding of the biology that controls human aging. This is a unique opportunity for individuals to distinguish themselves in aging research, deepen scientific training, and develop research independence.

The Postdoctoral Fellowship is a fixed-term educational assignment (three years with a potential fourth year extension) with rolling start dates. Postdoctoral Fellows are fully integrated into Calico's labs and community.

The program is designed to train individuals to become independent investigators in an academic or industry setting upon successful completion of the assignment. Fellows will receive regular feedback and guidance from their mentor(s) and participate in a formal annual review process to review project progress and individual performance and provide career coaching. 

Responsibilities

• Lead Independent Research: Focus on their own project(s), which should pursue new research directions with dedicated resources for innovative and potentially high-risk/high-reward research
• Contribute to Calico’s Core Mission: Contribute to furthering an understanding of aging and age-related diseases
• Drive Scientific Progress: Execute experiments meticulously, analyze data (including computational analysis if applicable) and troubleshoot procedures as needed
• Publish Work: Generate work that is expected to be submitted for publication in a timely fashion upon completion of the assignment
• Collaborate and Communicate: Actively collaborate across Calico's diverse teams and scientific community, including presenting progress and results to diverse audiences of computational scientists, lab scientists, and engineers
• Professional Development: Engage with a community of other Postdoctoral Fellows and senior leadership through professional and career development opportunities, such as the annual Postdoc Summit, research-in-progress presentations, senior leader lunch sessions, and skill-building workshops

Position Requirements

The successful candidate will demonstrate characteristics valued across Calico's programs, including being a self-motivated team player, detail-oriented, extremely organized, and comfortable working on complex problems.

• Education: Must have recently completed a PhD degree in a relevant scientific or computational field
• Current PhD student applicants should be within 12 months of completing their PhD
• Applicants who have already graduated must have completed their PhD within the past 3 years and not have been employed as a postdoc at more than one other lab/company since graduation
• Experience: Must have made important contributions to science in their area, ideally demonstrated by having had a meaningful first author paper accepted for publication
• Technical Versatility (General): While specific technical skills are project-dependent, proficiency in core scientific methodologies, analytical skills, and quantitative problem-solving is essential
• Communication: Strong teamwork and communication skills are required
• Adaptability: Must be flexible and able to respond quickly to shifting priorities, demonstrating a "can-do" attitude
• Onsite Availability: Must be willing to work onsite five days per week

Application Requirements

The Postdoctoral Fellowship has four application components:

• Research proposal (a 1-2 page creative and original research proposal on what you’d like to investigate in the Hahn Lab during your fellowship - note that project goals may evolve during the training period)
• Updated CV with a full list of publications
• Cover letter
• List of 2-3 references that we may contact, including your PhD thesis advisor and any postdoctoral advisors (if applicable)

The estimated base salary for this role is $95,000. More information on our postdoctoral fellowship program can be found here.

About the Hahn Lab

We investigate why specific cells in the brain, such as the resident immune cells, microglia, are among the earliest and most vulnerable sites of aging, and how this vulnerability contributes to neurodegeneration. Our central mission is to decode and ultimately reprogram the brain’s immune system to dampen or reverse age‑related neuroinflammation. 

The group has established a rich arsenal of novel in vitro and in vivo discovery platforms. These include scalable heterochronic myeloid cell replacement paradigms that swap native microglia with CRISPR‑ready donor cells across young and old brains, and a new protocol for generating neuroimmune cells in vitro at a very large scale. These novel approaches are complemented by world-class CNS research equipment including custom FACS instruments, bespoke electrophysiology setups and 2 Photon in vivo imaging suites. We welcome proposals that aim to decode altered cell-cell signaling in the CNS through scalable in vitro or ex vivo experimentation. The ideal candidate is a highly motivated innovator with a strong collaborative streak and a drive to take discoveries from cellular models to whole organisms. 

Publications from the group include:

• Full Google Scholar
• Gizowski & Popova et al., Heterochronic myeloid cell replacement reveals the local brain environment as key driver of microglia aging (2025) BioRxiv
• Hahn et al., Atlas of the aging mouse brain reveals white matter as vulnerable foci (2023) Cell
• Schaum & Lehallier & Hahn et al., Ageing hallmarks exhibit organ-specific temporal signatures (2020) Nature

Who We Are

Calico (Calico Life Sciences LLC) is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to increase our understanding of the biology that controls human aging. Calico will use that knowledge to devise interventions that enable people to lead longer and healthier lives. Calico’s highly innovative technology labs, its commitment to curiosity-driven discovery science and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs.

The Calico Postdoctoral Fellowship Program

We are seeking ambitious early career scientists to join us in our mission to increase our understanding of the biology that controls human aging. This is a unique opportunity for individuals to distinguish themselves in aging research, deepen scientific training, and develop research independence.

The Postdoctoral Fellowship is a fixed-term educational assignment (three years with a potential fourth year extension) with rolling start dates. Postdoctoral Fellows are fully integrated into Calico's labs and community.

The program is designed to train individuals to become independent investigators in an academic or industry setting upon successful completion of the assignment. Fellows will receive regular feedback and guidance from their mentor(s) and participate in a formal annual review process to review project progress and individual performance and provide career coaching. 

Responsibilities

• Lead Independent Research: Focus on their own project(s), which should pursue new research directions with dedicated resources for innovative and potentially high-risk/high-reward research
• Contribute to Calico’s Core Mission: Contribute to furthering an understanding of aging and age-related diseases
• Drive Scientific Progress: Execute experiments meticulously, analyze data (including computational analysis if applicable) and troubleshoot procedures as needed
• Publish Work: Generate work that is expected to be submitted for publication in a timely fashion upon completion of the assignment
• Collaborate and Communicate: Actively collaborate across Calico's diverse teams and scientific community, including presenting progress and results to diverse audiences of computational scientists, lab scientists, and engineers
• Professional Development: Engage with a community of other Postdoctoral Fellows and senior leadership through professional and career development opportunities, such as the annual Postdoc Summit, research-in-progress presentations, senior leader lunch sessions, and skill-building workshops

Position Requirements

The successful candidate will demonstrate characteristics valued across Calico's programs, including being a self-motivated team player, detail-oriented, extremely organized, and comfortable working on complex problems.

• Education: Must have recently completed a PhD degree in a relevant scientific or computational field
• Current PhD student applicants should be within 12 months of completing their PhD
• Applicants who have already graduated must have completed their PhD within the past 3 years and not have been employed as a postdoc at more than one other lab/company since graduation
• Experience: Must have made important contributions to science in their area, ideally demonstrated by having had a meaningful first author paper accepted for publication
• Technical Versatility (General): While specific technical skills are project-dependent, proficiency in core scientific methodologies, analytical skills, and quantitative problem-solving is essential
• Communication: Strong teamwork and communication skills are required
• Adaptability: Must be flexible and able to respond quickly to shifting priorities, demonstrating a "can-do" attitude
• Onsite Availability: Must be willing to work onsite five days per week

Application Requirements

The Postdoctoral Fellowship has four application components:

• Research proposal (a 1-2 page creative and original research proposal on what you’d like to investigate in the Kelley Lab during your fellowship - note that project goals may evolve during the training period)
• Updated CV with a full list of publications
• Cover letter
• List of 2-3 references that we may contact, including your PhD thesis advisor and any postdoctoral advisors (if applicable)

The estimated base salary for this role is $95,000. More information on our postdoctoral fellowship program can be found here.

About the Kelley Lab

Our group develops deep learning methods for regulatory genomics. The goal is a comprehensive model of the human cis-regulatory code that predicts how every nucleotide in the genome affects cell-type-specific gene regulation. We apply these models to predict genetic variant effects, amplifying insights from human genetics by boosting statistical power across the allele frequency spectrum, pinpointing causal variants, and generating mechanistic hypotheses.

Calico’s structure means close collaboration with experimental groups and access to rich longitudinal phenotyping across large human cohorts, which lets us connect sequence-level predictions to outcomes that matter for aging. To fully leverage this, we seek highly quantitative, deeply curious, and intellectually courageous collaborative team players who thrive in a multidisciplinary environment. We welcome proposals that address core questions in the application of machine learning to derive insights from genomics, connecting sequence-level predictions to outcomes that matter for aging.

Publications from the group include:

• Žiga Avsec et al., Effective gene expression prediction from sequence by integrating long-range interactions (2021) Nature Methods
• Han Yuan & David R. Kelley, scBasset: sequence-based modeling of single-cell ATAC-seq using convolutional neural networks (2022) Nature Methods
• Johannes Linder, Divyanshi Srivastava, Han Yuan, Vikram Agarwal & David R. Kelley, Predicting RNA-seq coverage from DNA sequence as a unifying model of gene regulation (2025) Nature Genetics

Who We Are

Calico (Calico Life Sciences LLC) is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to increase our understanding of the biology that controls human aging. Calico will use that knowledge to devise interventions that enable people to lead longer and healthier lives. Calico’s highly innovative technology labs, its commitment to curiosity-driven discovery science and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs.

The Calico Postdoctoral Fellowship Program

We are seeking ambitious early career scientists to join us in our mission to increase our understanding of the biology that controls human aging. This is a unique opportunity for individuals to distinguish themselves in aging research, deepen scientific training, and develop research independence.

The Postdoctoral Fellowship is a fixed-term educational assignment (three years with a potential fourth year extension) with rolling start dates. Postdoctoral Fellows are fully integrated into Calico's labs and community.

The program is designed to train individuals to become independent investigators in an academic or industry setting upon successful completion of the assignment. Fellows will receive regular feedback and guidance from their mentor(s) and participate in a formal annual review process to review project progress and individual performance and provide career coaching. 

Responsibilities

• Lead Independent Research: Focus on their own project(s), which should pursue new research directions with dedicated resources for innovative and potentially high-risk/high-reward research
• Contribute to Calico’s Core Mission: Contribute to furthering an understanding of aging and age-related diseases
• Drive Scientific Progress: Execute experiments meticulously, analyze data (including computational analysis if applicable) and troubleshoot procedures as needed
• Publish Work: Generate work that is expected to be submitted for publication in a timely fashion upon completion of the assignment
• Collaborate and Communicate: Actively collaborate across Calico's diverse teams and scientific community, including presenting progress and results to diverse audiences of computational scientists, lab scientists, and engineers
• Professional Development: Engage with a community of other Postdoctoral Fellows and senior leadership through professional and career development opportunities, such as the annual Postdoc Summit, research-in-progress presentations, senior leader lunch sessions, and skill-building workshops

Position Requirements

The successful candidate will demonstrate characteristics valued across Calico's programs, including being a self-motivated team player, detail-oriented, extremely organized, and comfortable working on complex problems.

• Education: Must have recently completed a PhD degree in a relevant scientific or computational field
• Current PhD student applicants should be within 12 months of completing their PhD
• Applicants who have already graduated must have completed their PhD within the past 3 years and not have been employed as a postdoc at more than one other lab/company since graduation
• Experience: Must have made important contributions to science in their area, ideally demonstrated by having had a meaningful first author paper accepted for publication
• Technical Versatility (General): While specific technical skills are project-dependent, proficiency in core scientific methodologies, analytical skills, and quantitative problem-solving is essential
• Communication: Strong teamwork and communication skills are required
• Adaptability: Must be flexible and able to respond quickly to shifting priorities, demonstrating a "can-do" attitude
• Onsite Availability: Must be willing to work onsite five days per week

Application Requirements

The Postdoctoral Fellowship has four application components:

• Research proposal (a 1-2 page creative and original research proposal on what you’d like to investigate in the Lu Lab during your fellowship - note that project goals may evolve during the training period)
• Updated CV with a full list of publications
• Cover letter
• List of 2-3 references that we may contact, including your PhD thesis advisor and any postdoctoral advisors (if applicable)

The estimated base salary for this role is $95,000. More information on our postdoctoral fellowship program can be found here.

About the Lu Lab

T cells play a pivotal role in the adaptive immune system by distinguishing foreign pathogens from self-antigens with exceptional sensitivity. However, as humans age, this precise discrimination wanes. Aged T cells respond poorly to external threats while becoming increasingly reactive toward the body’s own tissues. Our group is dedicated to deciphering the fundamental mechanisms by which aging impairs the T cell’s function, with the ultimate goal of restoring immune precision and resilience in older populations.

A potential driver of T cell aging is age-related thymic involution, which alters thymic selection processes and compromises both the quantity and quality of new T cell production. In response to the diminished output from an involuted thymus, existing naïve T cells undergo homeostatic proliferation, and eventually develop functional exhaustion.  We are interested in decoding the intrinsic and extrinsic factors that regulate T cell aging. We envision that by modulating T cell sensitivity, we can rejuvenate T cell function, lower the incidence of autoimmunity and cancer, and extend the healthspan of older individuals.

We welcome proposals that address core questions of T cell aging. We are seeking researchers who are intellectually fearless, naturally curious, and eager to tackle complex questions through rigorous experimentation.  Ideal candidates will be collaborative team players who thrive in a multidisciplinary environment and are committed to pushing the boundaries of immunology and aging research.

Publications from the group include:

• Full Google Scholar
• Lu et al., The phosphatidylinositol-transfer protein Nir3 promotes PI(4,5)P2 replenishment in response to TCR signaling during T cell development and survival (2023) Nature Immunology

Who We Are

Calico (Calico Life Sciences LLC) is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to increase our understanding of the biology that controls human aging. Calico will use that knowledge to devise interventions that enable people to lead longer and healthier lives. Calico’s highly innovative technology labs, its commitment to curiosity-driven discovery science and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs.

The Calico Postdoctoral Fellowship Program

We are seeking ambitious early career scientists to join us in our mission to increase our understanding of the biology that controls human aging. This is a unique opportunity for individuals to distinguish themselves in aging research, deepen scientific training, and develop research independence.

The Postdoctoral Fellowship is a fixed-term educational assignment (three years with a potential fourth year extension) with rolling start dates. Postdoctoral Fellows are fully integrated into Calico's labs and community.

The program is designed to train individuals to become independent investigators in an academic or industry setting upon successful completion of the assignment. Fellows will receive regular feedback and guidance from their mentor(s) and participate in a formal annual review process to review project progress and individual performance and provide career coaching. 

Responsibilities

• Lead Independent Research: Focus on their own project(s), which should pursue new research directions with dedicated resources for innovative and potentially high-risk/high-reward research
• Contribute to Calico’s Core Mission: Contribute to furthering an understanding of aging and age-related diseases
• Drive Scientific Progress: Execute experiments meticulously, analyze data (including computational analysis if applicable) and troubleshoot procedures as needed
• Publish Work: Generate work that is expected to be submitted for publication in a timely fashion upon completion of the assignment
• Collaborate and Communicate: Actively collaborate across Calico's diverse teams and scientific community, including presenting progress and results to diverse audiences of computational scientists, lab scientists, and engineers
• Professional Development: Engage with a community of other Postdoctoral Fellows and senior leadership through professional and career development opportunities, such as the annual Postdoc Summit, research-in-progress presentations, senior leader lunch sessions, and skill-building workshops

Position Requirements

The successful candidate will demonstrate characteristics valued across Calico's programs, including being a self-motivated team player, detail-oriented, extremely organized, and comfortable working on complex problems.

• Education: Must have recently completed a PhD degree in a relevant scientific or computational field
• Current PhD student applicants should be within 12 months of completing their PhD
• Applicants who have already graduated must have completed their PhD within the past 3 years and not have been employed as a postdoc at more than one other lab/company since graduation
• Experience: Must have made important contributions to science in their area, ideally demonstrated by having had a meaningful first author paper accepted for publication
• Technical Versatility (General): While specific technical skills are project-dependent, proficiency in core scientific methodologies, analytical skills, and quantitative problem-solving is essential
• Communication: Strong teamwork and communication skills are required
• Adaptability: Must be flexible and able to respond quickly to shifting priorities, demonstrating a "can-do" attitude
• Onsite Availability: Must be willing to work onsite five days per week

Application Requirements

The Postdoctoral Fellowship has four application components:

• Research proposal (a 1-2 page creative and original research proposal on what you’d like to investigate in the Nile Lab during your fellowship - note that project goals may evolve during the training period)
• Updated CV with a full list of publications
• Cover letter
• List of 2-3 references that we may contact, including your PhD thesis advisor and any postdoctoral advisors (if applicable)

The estimated base salary for this role is $95,000. More information on our postdoctoral fellowship program can be found here.

About the Nile Lab

The Nile Lab investigates the fundamental mechanisms by which E3 ubiquitin ligases recognize, modify, and regulate substrates. We aim to understand the biochemical and biophysical principles governing ubiquitin/UBL signaling, how E3s achieve specificity, how their activity is modulated, and how these insights can inform systematic strategies to redirect E3-ligase activity through chemical biology.

Our research emphasizes rigorous protein biochemistry, including protein purification, quantitative mechanistic studies, and the reconstitution of multi-component systems in vitro, while connecting these insights back to cellular context. We use a wide range of approaches such as structural biology, chemical biology, directed-evolution/selection technologies, and advanced imaging or biophysical methods. We welcome proposals that address core questions in ubiquitin signaling through rigorous biochemical experimentation and creative approaches. Ideal candidates will be highly quantitative, intellectually fearless, and collaborative team players who thrive in a multidisciplinary environment.

Publications from the group include:

• Full Google Scholar
• John Wang & Hannah Baddock et al., Structure of the p53 degradation complex from HPV16 (2024) Nature Communications 
• Peiyuan Zhang & Xiyun Ye et al., Reversibly reactive affinity selection mass spectrometry enables maturation of covalent peptides (2024) JACS
• Xiyun Ye & Peiyuan Zhang et al., Discovery of reactive peptide inhibitors of human papillomavirus oncoprotein E6. (2023) Chemical Sciences

About Truveta 

Truveta provides unprecedented real-world data and real-time intelligence, powered by a dataset built with and owned by US health systems united in a mission of Saving Lives with Data. Together, we power breakthrough medical discoveries, accelerate regulatory-grade evidence, and improve patient care. Today, Truveta enables research on more than 130 million de-identified patients across the US.   

Achieving Truveta’s ambitious mission requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.  

The Role 

We are seeking a highly motivated Postdoctoral Researcher to explore and develop novel applications of cutting-edge AI/ML technologies on large-scale real-world clinical data. 

This role is designed for recent PhD graduates who are passionate about pushing the boundaries of machine learning in healthcare. You will work at the intersection of machine learning, clinical data, and biomedical science, identifying new opportunities where modern AI can unlock insights that were previously out of reach. 

A key expectation is not just execution—but imagination: the ability to envision and prototype entirely new ways to use rich patient data to solve meaningful healthcare problems. 

What You’ll Do 

• Innovate: Identify and propose novel, high-impact applications of AI/ML using large-scale EHR data 

• Research & Prototype: Design, develop, and evaluate state-of-the-art models (e.g., foundation models, multimodal learning, causal ML, generative AI) 

• Work Across Modalities: Integrate structured and unstructured EHR data with emerging data types such as genomics, imaging, and clinical notes 

• Collaborate Cross-Functionally: Partner with clinicians, data scientists, and product teams to translate research ideas into real-world solutions 

• Publish & Share: Contribute to top-tier conferences/journals and represent Truveta in the research community 

• Explore the Unknown: Proactively identify problems that have not yet been addressed and define new research directions 

What We’re Looking For 

Minimum Qualifications 

• PhD in Computer Science, Machine Learning, Biomedical Informatics, or a related field 

• Strong background in machine learning, deep learning, or statistical modeling 

• Experience applying ML to healthcare, biomedical, or clinical datasets 

• Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow) 

Preferred Qualifications 

• Experience with healthcare data (EHRs, claims, clinical notes) or biomedical data (genomics, imaging) 

• Familiarity with cutting-edge areas such as:  

• Foundation models / LLMs in healthcare 

• Multimodal learning 

• Causal inference 

• Representation learning on longitudinal data 

• Track record of publications in top-tier ML or healthcare venues (e.g., NeurIPS, ICML, ICLR, MLHC, AMIA) 

• Ability to work across disciplines and communicate with both technical and clinical stakeholders 

Who You Are 

• Curious and imaginative: You naturally think beyond existing solutions and ask “what hasn’t been done yet?” 

• Impact-driven: You care about applying research to real-world healthcare problems 

• Comfortable with ambiguity: You thrive in open-ended environments where defining the problem is part of the job 

• Collaborative: You enjoy working across domains and learning from experts in different fields 

Why This Role is Unique 

• Access to one of the largest and richest longitudinal EHR datasets in the US 

• Opportunity to work on previously infeasible problems at the intersection of AI and medicine 

• A balance of academic-style research freedom and real-world impact 

• Collaboration with leading healthcare systems and industry partners 

Example Problem Areas (Illustrative) 

• Learning patient trajectories using foundation models for clinical decision support 

• Discovering novel phenotypes or disease subtypes from multimodal data 

• Predicting treatment effectiveness using causal ML on real-world data 

• Generating synthetic cohorts for rare disease research 

• Integrating genomics + EHR for precision medicine applications 

The CRA Life Sciences Symposium is a highly selective program designed to introduce PhD, Postdocs, & M.D. students to a career in life sciences consulting. We seek participants pursuing a PhD in the physical sciences, life sciences, social sciences, or a closely related field, or M.D.

Through workshops, panel discussions, and interactive case studies, you will learn about life in consulting and how you can put your PhD to great use at CRA. Click here to watch a short video about the program.

Apply for the opportunity to:

• Learn about the variety of consulting projects that CRA engages in across our clients;
• Discover how skills developed during your PhD and M.D. programs are translated to help solve problems facing our clients in the life sciences industry;
• Engage in complex problem-solving exercises with bright minds; collaborate; research; conduct insightful analysis and deduction;
• Immerse yourself in CRA’s learning culture and participate in training workshops to enhance your skills;
• Discover what CRA looks for when recruiting and selecting top candidates;
• Network with hiring managers, experienced consultants with advanced degrees from a variety of disciplines, and fellow participants.

Program logistics

• The three-day intensive program will take place in our Boston headquarters on August 3-5, 2026; 
• CRA will pay for lodging and travel expenses within the US and from Canada.

Eligible participants are:

• Pursuing a PhD or postdoc in the physical sciences, life sciences, social sciences, or a closely related field, or M.D.;
• Aiming to pursue a full-time consulting career in 2027;
• Seriously considering a career in life sciences consulting;
• We encourage applications from across the US and Canada.

To apply

To be considered, please submit a resume, a cover letter, and a paper or abstract, if you have one. The writing sample should focus on your research interests; your cover letter should explain your interest in life sciences consulting and CRA.

Selected applications will advance to a virtual interview that will focus on your previous experience, your interest in consulting, and fit with the team. This application and interview process is solely for your attendance at the Life Sciences Symposium.

The Symposium is meant to be a learning experience as well as an evaluation of your candidacy for a full-time role. After the Symposium, selected attendees will be invited to interview for a full-time role; we will be recruiting for full-time positions for our offices in Boston, Chicago, New York, Oakland (CA), Summit (NJ), Washington (DC) and Toronto.

The closing date for applications is Friday, May 29, 2026. 

About Charles River Associates

Charles River Associates is a leading global consulting firm that provides economic, financial, and business management expertise to major law firms, corporations and governments around the world. CRA advises clients on economic and financial matters pertaining to litigation and regulatory proceedings, and guides corporations through critical business strategy and performance-related issues. Since 1965, clients have engaged CRA for its combination of industry experience and rigorous, fact-based analysis that provide clients with clear, implementable solutions to complex business concerns.

CRA’s Life Sciences practice helps pharmaceutical, biotechnology, diagnostics and medical device companies achieve optimum performance across key aspects of their business, including innovation, commercial success, organization, and reputation, all for the long-term benefit of patients, clinicians, employees, and shareholders. We work with life sciences businesses directly as well as with their legal counsel, industry associations, government organizations, and advocacy groups from the earliest stages of research into new therapy areas, through product development, to the delivery of products that will achieve commercial success and fulfill the expectations of our clients and their key stakeholders. Click here to find out what consultants do at CRA and hear from recent PhD hires why they chose to join.

Our Commitment to Equal Employment Opportunity

Charles River Associates is an equal opportunity employer (EOE). All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, status as a protected veteran, or any other protected characteristic under applicable law.

Aquatic is looking for exceptional Quantitative Researchers to create and improve proprietary trading models and strategies while working closely with engineers and senior leaders across the firm. Quantitative Researchers within Aquatic work on a variety of trading strategies and research projects, with the opportunity to conduct independent research and originate research topics over time.

Specific responsibilities range from utilizing financial and other data in an effort to create or improve predictive models, developing and/or leveraging leading-edge statistical and machine-learning models to enhance the research and development system, creating algorithms to monetize the predictive signals.

Technical requirements:

• At least 4+ years of full-time professional experience
• Bachelors, Masters, PhD or Postdoc candidates in finance, computer science, mathematics, statistics, machine learning, physics, or other scientific discipline
• Solid mathematical and analytical ability; exceptional problem-solving and modeling ability
• Demonstrated ability to complete high level, statistical or applied mathematical research
• Prior experience in a quantitative role within a trading environment a plus
• Experience in solving highly complex, data intensive problems
• Programming proficiency in any of the following: Python, C++, Java or R

Behavioral requirements:

• Strong research hygiene
• Self-motivated and highly-productive, with a strong sense of ownership and urgency
• Intellectually curious, creative, and rigorous
• Excellent communication and collaboration skills
• Meticulous attention to detail
• Able to work across disciplines
• Willing to take ownership of his/her work, working both independently and within a small team
• Driven and tenacious approach with desire to build something scratch

The base salary for this role is anticipated to be between $150,000 and $300,000, which is based on information at the time of posting. This position may also be eligible for additional forms of compensation, such as a discretionary bonus, and benefits. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their unique skills, qualifications and relevant experience.

About the Position

Our goals are to give you a real sense of what it’s like to work at Jane Street full time as a Machine Learning Researcher, and a truly unparalleled educational experience. You’ll work side by side with experienced ML Researchers on projects that we’ve selected for their combination of novel ML ideas and relevance to real-world systematic trading strategies. You'll learn how we think about markets through challenging classes and activities, and practice using established methods alongside our own unique twists to train practical models. 

At Jane Street, the lines between research, technology, and trading are intentionally blurry. As our strategies grow more sophisticated, close collaboration is essential for continuing to push the boundaries of what’s possible. We work with petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing tens of thousands of high-end GPUs. Trading poses unusual challenges—large models and nonstationary datasets in a competitive multi-agent environment—that force us to search for novel techniques.

You’ll spend the bulk of your internship working closely on projects with experienced ML Researchers at Jane Street. You might conduct an end-to-end study of an unexplored dataset, try a new modeling paradigm for a thorny problem, or consider blue-sky approaches that we’re still trying to figure out. The problems we work on rarely have clean, definitive answers, and they often require insights from colleagues across the firm with different areas of expertise. Depending on the day, you might be diving deep into market data, tuning hyperparameters, debugging training issues, or analyzing the predictions your model makes.

Note that given the IP-sensitive nature of machine learning research at Jane Street, it is unlikely that any research findings associated with the internship will be suitable for outside academic publication.

About You

If you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you’ll fit right in. You should be:

• A PhD student or postdoc working on empirical ML research problems, or someone with equivalent research experience 
• Interested in applying logical and mathematical thinking to all kinds of problems
• Curious about the machine learning landscape and excited to apply state-of-the-art techniques drawn from many problem domains
• Fluent with a versatile set of models and tricks 
• Able to rapidly implement and iterate on your ideas in Python and your favorite ML framework
• Eager to ask questions, admit mistakes, and learn new things
• Fluent in English

If you’d like to learn more, you can read about our interview process and meet some of the team. Learn more about Jane Street’s internship program here.

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com

Eligible candidates: Final-year PhD students or postdoctoral researchers

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.   

Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. Our culture is centred around technology, automation, and industrialized processes. We operate in multiple languages from C++ to Python and embrace open-source software.  

Your future role within QRT 

You will join a team of quantitative researchers to learn how to design trading algorithms in a real-world data environment – a fast track to become a seasoned quantitative researcher. Surrounded by peers who have successfully transitioned from academia to applied research, you will receive mentorship from experienced professionals who will help you translate your theoretical expertise into real-world impact. The research environment at QRT is designed to be collaborative and intellectually stimulating. 

Within one of QRT's systematic teams - spanning high, mid, and low-frequencies - your core objective will be to develop high-quality predictive signals: 

• Leverage access to vast and diverse datasets to identify hidden statistical patterns and market opportunities. 

• Collaborate with fellow researchers to exchange ideas and refine methodologies. 

• Translate theoretical models into production-ready signals. 

• Lead the full research cycle - from idea generation to implementation. 

Your present skillset 

• Holding or pursuing a PhD (final year) degree in a quantitative field such as statistics, mathematics, physics, biology, computer science, or engineering. 

• A pragmatic attitude towards translating theoretical models into real-world data problems.   

• Proficiency in Python (preferred) or another leading programming language such as R, MATLAB, C++, or C#. 

• Experience working with large datasets across multiple time frames (a plus). 

• Ability to multitask in a fast-paced environment with attention to detail. 

• Intellectual curiosity to explore new data, solve complex problems, and connect ideas across disciplines. 

• Ability to work autonomously, in a collegial and collaborative setting, and with colleagues from diverse backgrounds and areas of expertise. 

• Strong communication skills. 

• Fluency in English (additional languages are a plus). 

Interviewing:   

• Apply online: All applications are reviewed by our Talent Acquisition Team, on a rolling basis. 

• Interviews: Conducted on-site or via Teams, they assess both your technical expertise and alignment with our collaborative culture. 

We invite candidates for the Quantitative Research position to take part in one of our Data Challenges. This task is designed to give you insight into the daily responsibilities of the role and allows us to assess your abilities and interest: Challenge data (ens.fr) 

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance 

ML Postdoc Researcher - Healthcare AI Innovation

Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.

Our headquarters are in the greater Seattle area, but we celebrate and embrace a remote culture.  Participation in the Postdoctoral Research program requires that you are physically present in the United States for the duration of the program. #LI-remote

About Truveta 

Truveta is transforming healthcare by enabling researchers, clinicians, and life sciences organizations to learn from one of the most comprehensive collections of de-identified patient data in the United States. With access to longitudinal electronic health record (EHR) data from over 120 million patients (which represents over a third of the US population), we are uniquely positioned to drive breakthroughs in clinical research and improve patient outcomes. 

This Opportunity

We are seeking a highly motivated Postdoctoral Researcher to explore and develop novel applications of cutting-edge AI/ML technologies on large-scale real-world clinical data. 

This role is designed for recent PhD graduates who are passionate about pushing the boundaries of machine learning in healthcare. You will work at the intersection of machine learning, clinical data, and biomedical science, identifying new opportunities where modern AI can unlock insights that were previously out of reach. 

A key expectation is not just execution—but imagination: the ability to envision and prototype entirely new ways to use rich patient data to solve meaningful healthcare problems. 

Who You Are

• Curious and imaginative: You naturally think beyond existing solutions and ask “what hasn’t been done yet?”
• Impact-driven: You care about applying research to real-world healthcare problems
• Comfortable with ambiguity: You thrive in open-ended environments where defining the problem is part of the job
• Collaborative: You enjoy working across domains and learning from experts in different fields 

What You'll Do

• Innovate: Identify and propose novel, high-impact applications of AI/ML using large-scale EHR data
• Research & Prototype: Design, develop, and evaluate state-of-the-art models (e.g., foundation models, multimodal learning, causal ML, generative AI)
• Work Across Modalities: Integrate structured and unstructured EHR data with emerging data types such as genomics, imaging, and clinical notes
• Collaborate Cross-Functionally: Partner with clinicians, data scientists, and product teams to translate research ideas into real-world solutions
• Publish & Share: Contribute to top-tier conferences/journals and represent Truveta in the research community
• Explore the Unknown: Proactively identify problems that have not yet been addressed and define new research directions 

What We're Looking For

Basic Qualifications

• • Collaborate with researchers and engineers to design, develop, and refine large language models and generative models for various applications.
  • Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks.
  • Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets to ensure optimal performance and accuracy.
  • Stay up to date with the latest research advancements and techniques in the field of language modeling, generative modeling, and machine learning.
  • Deliver the next generation of innovation in trustworthy healthcare.

Preferred Qualifications

• • Experience with healthcare data (EHRs, claims, clinical notes) or biomedical data (genomics, imaging)
  • Familiarity with cutting-edge areas such as: 
  • Foundation models / LLMs in healthcare
  • Multimodal learning
  • Causal inference
  • Representation learning on longitudinal data
  • Track record of publications in top-tier ML or healthcare venues (e.g., NeurIPS, ICML, ICLR, MLHC, AMIA)
  • Ability to work across disciplines and communicate with both technical and clinical stakeholders 

Why Truveta? 

Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together. 

We offer: 

• Competitive compensation
• Company-issued laptop and equipment
• Opportunities for future full-time positions
• The range for this position is $50-$60 per hour

Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all of the requirements.

ML Postdoc Researcher - LLMs & Generative AI

Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.

Our headquarters are in the greater Seattle area, but we celebrate and embrace a remote culture.  Participation in the Postdoctoral Research program requires that you are physically present in the United States for the duration of the program. #LI-remote

Who We Need 

We are seeking a highly motivated and talented Machine Learning Postdoctoral Researcher to join our AI research team and contribute to our innovative projects in the field of Large Language Modeling (LLM) and clinical data analysis. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.

Program Details

Our Postdoctoral Research program is designed for candidates who have completed their PhD within the last two years and worked in their area of expertise since graduation as a postdoc, professor, or industry researcher/scientist. Candidates are expected to demonstrate both independence in defining their research strategy within a domain as well as an ability to apply innovative solutions to our products. Our postdoc research programs are designed to be a minimum of 3 months and a maximum of 12 months, with the opportunity to extend beyond the initially agreed term based on the company’s needs and the candidate’s desires.

This Opportunity

We are looking for machine learning experts who can utilize applied science and software development skills in building our Foundation Models that help us address some of the hardest problems towards our vision of Saving Lives with Data. You will work in an exciting and fast-paced environment, collaborating closely with multiple teams across the company. You will work as part of an organization that brings together talent from diverse backgrounds including software engineering, big data, machine learning and AI, clinical informatics, and medicine making our team an exciting place to work. We value and encourage diversity in the belief that our differences make us and our products better.

In this role, you will:

• Collaborate with researchers and engineers to design, develop, and refine large language models and generative models for various applications.
• Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks.
• Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets to ensure optimal performance and accuracy.
• Stay up to date with the latest research advancements and techniques in the field of language modeling, generative modeling, and machine learning.
• Deliver the next generation of innovation in trustworthy healthcare.

Key Qualifications

• Ph.D. in Computer Science, Electrical Engineering, or a related field, with a focus on machine learning, natural language processing (NLP), Large Language Models (LLMs), multi-modal foundation models, and generative AI
• Strong theoretical and practical background in NLP including experience with state-of-the-art architectures
• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, etc.) and libraries commonly used in NLP and Generative AI
• Solid programming skills in Python and the ability to write clean, efficient, and well-documented code
• Excellent problem-solving and troubleshooting abilities, along with a strong analytical mindset and persistence in resolving problems
• Strong communication skills and the ability to work effectively in a collaborative research environment

Preferred Qualifications

• Experience with distributed parallel training, large-scale multi-modal foundation and generative models
• Familiarity with parameter-efficient tuning techniques, Reinforcement Learning from Human Feedback (RLHF), and prompt engineering techniques
• Familiarity with training multi-modal foundation models
• Familiarity with cloud-based infrastructure and experience deploying large-scale machine learning models in production environments
• A track record of publications and contributions to the machine learning and natural language processing communities

This postdoctoral research program offers a unique chance to work on state-of-the-art language models and contribute to transformative research with the vision of Saving Lives with Data. You will be part of a dynamic team of researchers and engineers who are passionate about pushing the boundaries of machine learning and natural language understanding in the healthcare domain. Join us and make a significant impact on the future of healthcare and patient well-being.

Why Truveta? 

Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together. 

We offer: 

• Competitive compensation
• Company-issued laptop and equipment
• Opportunities for future full-time positions
• The range for this position is $50-$60 per hour

Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all of the requirements.

Virtu is looking for a detail-oriented quantitative researcher to join our Financial Engineering team in Boston. The emphasis of this position is on the research, development and maintenance of our industry-leading mathematical/statistical products, making them available for our clients.

The successful candidate joins a strong team that conducts trading-related research and development by applying principles of scientific computing and analytical and programming skills using modern state-of-the-art tools and software. The emphasis of this position is on the development, deployment and support of mathematical/statistical models for pre- and post-trade decision support as well as leveraging new technology to simplify QA, streamline model analysis and product support.  

We create actionable products that improve decision-making for equity, fixed income, FX, and other asset classes. Investors around the world have better trading performance because of the work we do every day. From traders to technologists and everyone in between, Virtuans are passionate about innovating, solving problems and making an impact to the bottom line. Our teams set the bar high and strive to provide best-in-class service to institutional investors around the world.

WE’LL TRUST YOU TO:

• Learn and be knowledgeable about our client execution data, analytics and models, lead new improvements and/or initiatives, and handle their support
• Develop re-usable common framework components that expose features of our analytics/model to internal and external clients, including integration of our new models into client-facing platforms
• Work with product managers, consultants and client services teams to understand, prioritize and effectively execute requirements
• Build robust production pipelines and automate validation and QA of new models and their applications
• Conduct critical comparison of alternative data sources and, if necessary, integrate them in the production pipeline
• Maintain and support existing research tools and products as well as audit new technologies and use-cases
• Apply advanced data processing techniques to enhance expert knowledge in measuring and analyzing realized transactions costs of Virtu’s peer clients

 WHAT YOU BRING WITH YOU:

• PhD degree in a quantitative field (e.g., mathematics, physics, statistics and operations research)
• 2+ years industry or relevant PhD or PostDoc experience
• Self-driven, detail-oriented and capable of formulating and solving problems independently
• Experience with C++ and Python is required
• Experience with scalable and modular software development and deployment as well as in depth knowledge of algorithms and data structures
• Interest in developing and owning business applications of our models/analytics
• Capability to support the existing production environment and nimble enough to navigate predecessors’ code
• Ability to effectively use the Linux platform for development and high-throughput data processing
• Previous experience with statistical and optimization techniques is preferred
• Hands-on experience with intraday financial data and analytics is preferred
• Familiarity with Kx/q is a plus

YOU’RE JUST RIGHT FOR VIRTU IF YOU ARE LOOKING FOR:

• A smaller collegiate team environment
• A tech-savvy company on the cutting edge of innovation
• Direct exposure to the decision makers and senior leaders on all sides of the business
• Teams that are passionate about continually learning, improving and raising the bar
• A community that values hard work as well as work-life balance
• A company that is committed to giving back to the surrounding communities

YOU’RE JUST RIGHT FOR VIRTU IF YOU ARE LOOKING FOR:

• A smaller collegiate team environment
• A tech-savvy company on the cutting edge of innovation
• Direct exposure to the decision makers and senior leaders on all sides of the business
• Teams that are passionate about continually learning, improving and raising the bar
• A community that values hard work as well as work-life balance
• A company that is committed to giving back to the surrounding communities

Salary Range: $170,000 - $210,000 (salary range is exclusive of bonuses, benefits or other categories of compensation)

Virtu Financial is an equal opportunity employer, committed to a diverse and inclusive workplace, welcoming you for who you are and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

PsiQuantum’s mission is to build the first useful quantum computers—machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. 

Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. 

Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry—including partners like GlobalFoundries—we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don’t feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. 

In 2024, PsiQuantum announced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining—and that now is the time to scale. 

PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to prepare quantum solutions for real-world impact. 

Quantum computing is not an extension of classical computing. It represents a fundamental shift—and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we have a clear path to make it real. 

Come join us. 

Job Summary:

Are you passionate about advancing quantum materials theory and computational modeling? As a Quantum Materials Theorist, you will join an interdisciplinary team at the forefront of computational physics, materials science, machine learning, and quantum technologies. This role offers the opportunity to develop and refine theoretical and computational approaches for understanding and predicting material properties, contributing to next-generation technologies.

You will bring expertise in electronic structure theory, many-body physics, and computational methods to explore complex quantum materials and emergent phenomena. Your work will involve integrating conventional and emerging computational approaches, incorporating insights from machine learning, high-performance computing (HPC), and quantum computing to drive innovation in materials discovery and design.

This position provides the opportunity to engage in high-impact, collaborative research, working alongside specialists in quantum algorithms, materials informatics, computational physics, chemistry, and condensed matter modeling. If you thrive in an intellectually stimulating environment and enjoy tackling fundamental and computational challenges in quantum materials science, we encourage you to apply.

This position requires a PhD in computational physics (or a closely related field), preferably with postdoctoral research experience (although postdoc experience is not mandatory). We are looking for a curious, creative, and interdisciplinary thinker with a comprehensive understanding of various computational physics, chemistry, and machine learning methodologies. The ideal candidate should be an avid reader of scientific literature, have expert-level hands-on coding experience (e.g., Python, Fortran, or C++), and possess deep expertise and skills in methodology development, which may include contributions to open-source atomistic simulation software packages. While prior knowledge of quantum information and fault-tolerant quantum computing is highly preferred, it is not required.

Responsibilities:

• Conduct theoretical and computational research in materials theory and simulations, advancing methodologies for modeling electronic structure, strongly correlated systems, and emergent quantum phenomena.
• Develop computational workflows that integrate established and emerging techniques, leveraging advances in high-performance computing (HPC), machine learning, and quantum computing.
• Collaborate with quantum algorithm developers, computational physicists, and materials scientists to explore new frontiers in quantum materials modeling.
• Contribute expertise in electronic structure theory and many-body physics to research efforts focused on understanding and predicting material properties.
• Stay at the forefront of developments in computational materials science, incorporating state-of-the-art approaches into research projects.
• Serve as a technical leader in interdisciplinary collaborations, working with internal and external teams on innovative solutions in quantum materials research.
• Engage in external partnerships, scientific discussions, and technical communication to support the broader research and application of advanced computational materials methodologies.
• Document research progress effectively and contribute to publications and external-facing materials that highlight advances in the field.

Experience/Qualifications:

Required:

• Ph.D. in theoretical or computational physics or chemistry or a closely related field, with a focus on electronic structure and many-body physics.
• Strong foundation in electronic structure theory, band structure calculations, and computational modeling.
• Expertise in methodology development within density functional theory (DFT).
• Proficiency in scientific programming and algorithm development, with experience in Python, Fortran, or C++.
• Familiarity with high-performance computing (HPC) environments and large-scale simulations.
• Enthusiasm for interdisciplinary collaboration, working across physics, chemistry, materials science, machine learning, and computational research teams.
• Strong peer-reviewed publication record.

Preferred:

• Experience with machine learning and data-driven approaches in computational modeling.
• Experience with quantum algorithms, particularly their application to materials modeling and electronic structure problems.
• Familiarity with wave function based computational chemistry methodologies, including coupled-cluster, configuration interaction (CI), and multi reference methods.
• Expertise in many-body and strongly correlated systems, including Fermi-Hubbard models, tensor networks, and embedding theories.
• Hands-on coding experience with Wannier function calculations.

PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws.

Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to recruiting@psiquantum.com.

We are not accepting unsolicited resumes from employment agencies.

Quantum computing holds the promise of humanity’s mastery over the natural world, but only if we can build a real quantum computer. PsiQuantum is on a mission to build the first real, useful quantum computers, capable of delivering the world-changing applications that the technology has long promised.  We know that means we will need to build a system with roughly 1 million qubits that supports fault tolerant error correction within a scalable architecture, and a data center footprint.

By harnessing the laws of quantum physics, quantum computers can provide exponential performance increases over today’s most powerful supercomputers, offering the potential for extraordinary advances across a broad range of industries including climate, energy, healthcare, pharmaceuticals, finance, agriculture, transportation, materials design, and many more.

PsiQuantum has determined the fastest path to delivering a useful quantum computer, years earlier than the rest of the industry. Our architecture is based on silicon photonics which gives us the ability to produce our components at Tier-1 semiconductor fabs such as GlobalFoundries where we leverage high-volume semiconductor manufacturing processes, the same processes that are already producing billions of chips for telecom and consumer electronics applications. We also benefit from the quantum mechanics reality that photons don’t feel heat or electromagnetic interference, allowing us to take advantage of existing cryogenic cooling systems and industry standard fiber connectivity.

In 2024, PsiQuantum announced two government-funded projects to support the build-out of our first Quantum Data Centers and utility-scale quantum computers in Brisbane, Australia and Chicago, Illinois. Both projects are backed by nations that understand quantum computing’s potential impact and the need to scale this technology to unlock that potential. And we won’t just be building the hardware, but also the fault tolerant quantum applications that will provide industry-transforming results.

Quantum computing is not just an evolution of the decades-old advancement in compute power. It provides the key to mastering our future, not merely discovering it. The potential is enormous, and we have the plan to make it real. Come join us.

There’s much more work to be done and we are looking for exceptional talent to join us on this extraordinary journey!

Job Summary:

Are you eager to revolutionize life sciences using the transformative power of quantum computing? As a Quantum Life Sciences Chemist, you will lead efforts at the intersection of quantum computing, computational chemistry, and biology, solving critical challenges in drug design, biomolecular modeling, and biological systems simulation. By integrating quantum algorithms with established life sciences methodologies, you will pioneer new approaches to address complex problems in pharmaceuticals, biomaterials, and bioinformatics. Join our interdisciplinary team to advance quantum-enabled innovations and shape the future of life sciences.

At PsiQuantum’s Quantum Solutions team, your role will focus on bridging the gap between fault-tolerant quantum computing (FTQC) and established computational chemistry and life sciences tools. You will integrate these approaches with machine learning to explore novel workflows for quantum-informed drug discovery and biomolecular modeling. Your expertise in theoretical and computational chemistry will enable you to connect quantum-computed molecular insights with complex biological systems, driving advancements in drug design, biomaterials, and other critical areas within the life sciences.

This position requires a PhD in computational chemistry, biophysics, or a closely related field, preferably with postdoctoral research experience (although postdoc experience is not mandatory). We are looking for a curious, creative, and interdisciplinary thinker with a strong foundation in computational methodologies applicable to life sciences. The ideal candidate should be an avid reader of scientific literature, possess expert-level hands-on coding experience (e.g., Python, Fortran, C++), and have demonstrated skills in developing and applying computational techniques. Experience contributing to scientific software or modeling workflows is a plus. While prior knowledge of quantum information and fault-tolerant quantum computing is highly preferred, it is not required.

Responsibilities:

• Conduct innovative research, literature analysis, problem solving, and quantum workflow design in the areas of quantum-informed biomolecular modeling, drug discovery, and computational chemistry.
• Collaborate with quantum algorithm experts to identify areas where quantum computing can have the greatest impact in computational chemistry, biology, and life sciences.
• Contribute expertise in conventional (non-quantum-computing) algorithms to the development of in-house quantum algorithms. Serve as a technical lead in customer projects by collaborating with customers’ teams to integrate quantum computing-produced computational outputs into conventional life sciences workflows.
• Serve as a liaison between partner teams and PsiQuantum’s quantum information experts for innovative algorithm selection, development, and prioritization relevant to life sciences.
• Develop computational workflows that combine best-in-class conventional approaches (e.g., through high-performance computing (HPC)) with the breakthrough computational abilities of FTQC to reshape how quantum workflows are designed for life sciences applications.
• Serve as a subject matter expert in computational quantum chemistry and biomolecular modeling for PsiQuantum’s Quantum Solutions team, staying updated on recent academic literature, trends, and tools in life sciences.
• Foster collaboration across teams to maximize the impact of quantum algorithms and quantum computing-generated data in life sciences applications.
• Help shape external-facing materials that champion the applications of FTQC in the pharmaceutical, biotechnology, and life sciences industries (for key opinion leaders, media, and partners).
• Build and maintain external partnerships and collaborations on the topic, which can include meetings, group problem-solving sessions, or drafting research proposals, among others.
• Create organized internal reports and thoroughly document progress on assigned tasks.

Experience/Qualifications:

Required:

• Ph.D. in computational chemistry, biophysics, bioinformatics, or a closely related field, with a strong focus on computational methodology development, and 0 to 6 years of post-PhD (postdoctoral or industrial) experience.
• Hands-on experience with modeling and simulation of biological systems, such as protein-ligand interactions, enzymatic reactions, or biomolecular dynamics.
• Enthusiasm for working in a collaborative, interdisciplinary, and dynamic team environment.
• Expert-level Python coding skills with experience in scientific libraries relevant to life sciences.
• Proven ability to stay updated on recent academic literature and trends in computational chemistry and biomolecular modeling.

Preferred:

• Strong foundational knowledge of quantum chemistry methods (e.g., DFT, coupled cluster theory, or wavefunction-based approaches) and molecular simulation techniques as applied to biomolecular systems.
• Experience with free energy perturbation (FEP), molecular docking, or similar computational techniques for drug discovery.
• Experience with machine learning (ML) techniques in computational drug discovery, biomolecular modeling, or structural biology.
• Experience with coding GPU-accelerated molecular simulations.
• Familiarity with hybrid quantum-classical methodologies, such as QM/MM, applied to biomolecular systems.
• Knowledge of quantum embedding theories (e.g., DMET, embedded correlated wavefunctions) and their application to large, complex biomolecular systems.
• Hands-on experience with quantum computing or quantum algorithms, especially as applied to biological or chemical systems.
• General understanding of light-matter interactions or electronic excitations relevant to biological or chemical systems, such as energy transfer or photochemical processes.
• Familiarity with advanced quantum mechanical methods (e.g., CASCI, CASSCF) and their relevance to modeling enzymatic reactions or metal-containing biomolecules.
• Demonstrated scientific communication skills through peer-reviewed publications, conference presentations, or collaboration with industry partners.
• Expert-level C++ or Fortran coding skills.

PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws.

Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to recruiting@psiquantum.com.

We are not accepting unsolicited resumes from employment agencies.

About this opportunity:

At Freenome, we are seeking a Senior Machine Learning Scientist to help grow the Machine Learning Science team, within the Computational Science department. The ideal candidate has a strong knowledge of artificial intelligence (AI), including machine learning (ML) fundamentals and extensive experience with deep learning (DL) methods, a track record of successfully using these methods to answer complex research questions, and the ability to thrive in a highly cross-functional environment.

They will be responsible for the development of algorithms for early, blood-based detection tests for cancer. They will build on a foundation of ML/DL and statistical skills to develop models for identifying molecular signals from blood. They will also work with computational biologists, molecular biologists and ML engineers to design and drive research experiments, and will have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer.

The role reports to the Director, Machine Learning Science. This role can be a Hybrid role based in our Brisbane, California headquarters (2-3 days per week in office), or remote.

What you’ll do:

• Independently pursue cutting edge research in AI applied to biological problems (including cancer research, genomics, computational biology, immunology, etc.).
• Build new models or fine-tune existing models to identify biological changes resulting from disease.
• Build models that achieve high accuracy and that generalize robustly to new data.
• Apply contemporary interpretability techniques to provide a deeper understanding of the underlying signal identified by the model, ideally suggesting potential biological mechanisms.
• Work closely with ML Engineering partners to ensure that Freenome’s computational infrastructure supports optimal model training and iteration.
• Take a mindful, transparent, and humane approach to your work.

Must haves:

• PhD or equivalent research experience with an AI emphasis and in a relevant, quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Computational Biology, or Bioinformatics.
• 3+ years of postdoc or post-PhD industry experience achieving impactful results using relevant modeling techniques.
• Expertise, demonstrated by research publications or industry achievements, in applied machine learning, deep learning and complex data modeling.
• Practical and theoretical understanding of fundamental ML models like generalized linear models, kernel machines, decision trees and forests, neural networks.
• Practical and theoretical understanding of DL models like large language models or other foundation models.
• Extensive experience with training paradigms like supervised learning, self-supervised learning, and contrastive learning.
• Proficient in current state of the art in ML/DL approaches in different domains, with an ability to envision their applications in biological data.
• Proficiency in a general-purpose programming language: Python, R, Java, C, C++, etc.
• Proficiency in one or more ML frameworks such as; Pytorch, Tensorflow and Jax; and ML platforms like Hugging Face.
• Experience in ML analysis and developer tools like TensorBoard, MLflow or Weights & Biases.
• Excellent ability to communicate across disciplines, work collaboratively, and make progress in smaller steps via experimental iterations.
• A passion for innovation and demonstrated initiative in tackling new areas of research.

Nice to haves:

• Deep domain-specific experience in computational biology, genomics, proteomics or a related field.
• Experience in building DL models for genomic data, with knowledge of state-of-the-art DNA foundation models.
• Experience in NGS data analysis and bioinformatic pipelines.
• Experience with containerized cloud computing environments such as Docker in GCP, Azure, or AWS.
• Experience in a production software engineering environment, including the use of automated regression testing, version control, and deployment systems.

Benefits and additional information:

The US target range of our base salary/hourly rate for new hires is $173,775 - $246,750. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.  Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ freenome.com/job-openings/ for additional company information.  

Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Applicants have rights under Federal Employment Laws.  

• Family & Medical Leave Act (FMLA)
• Equal Employment Opportunity (EEO)
• Employee Polygraph Protection Act (EPPA)

#LI-HYBRID

About this opportunity:

At Freenome, we are seeking a Staff Machine Learning Scientist to help grow the Machine Learning Science team, within the Computational Science department. The ideal candidate has a strong knowledge of artificial intelligence (AI), including machine learning (ML) fundamentals and extensive experience with deep learning (DL) methods, a track record of successfully using these methods to answer complex research questions, the ability to drive independent research and thrive in a highly cross-functional environment.

They will be responsible for the development of algorithms for early, blood-based detection tests for cancer. They will build on a foundation of ML/DL and statistical skills to develop models for identifying molecular signals from blood. They will also work with computational biologists, molecular biologists and ML engineers to design and drive research experiments, and will have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer.

The role reports to the Director, Machine Learning Science. This role can be a Hybrid role based in our Brisbane, California headquarters (2-3 days per week in office), or remote.

What you’ll do:

• Independently pursue cutting edge research in AI applied to biological problems (including cancer research, genomics, computational biology, immunology, etc.).
  
• Build new models or fine-tune existing models to identify biological changes resulting from disease.
  
• Build models that achieve high accuracy and that generalize robustly to new data.
  
• Apply contemporary interpretability techniques to provide a deeper understanding of the underlying signal identified by the model, ideally suggesting potential biological mechanisms.
  
• Work closely with ML Engineering partners to ensure that Freenome’s computational infrastructure supports optimal model training and iteration.
  
• Take a mindful, transparent, and humane approach to your work.
  

Must haves:

• PhD or equivalent research experience with an AI emphasis and in a relevant, quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Computational Biology, or Bioinformatics.
• 6+ years of postdoc or post-PhD industry experience achieving impactful results using relevant modeling techniques.
• Expertise demonstrated by research publications or industry achievements, in driving independent research in applied machine learning, deep learning and complex data modeling.
• Practical and theoretical understanding of fundamental ML models like generalized linear models, kernel machines, decision trees and forests, neural networks, boosting and model aggregation.
• Practical and theoretical understanding of DL models like large language models or other foundation models.
• Extensive experience with training paradigms like supervised learning, self-supervised learning, and contrastive learning.
• Proficient in current state of the art in ML/DL approaches in different domains, with an ability to envision their applications in biological data.
• Proficiency in a general-purpose programming language: Python, R, Java, C, C++, etc.
• Proficiency in one or more ML frameworks such as; Pytorch, Tensorflow and Jax; and ML platforms like Hugging Face.
• Experience in ML analysis and developer tools like TensorBoard, MLflow or Weights & Biases.
• Excellent ability to communicate across disciplines, work collaboratively, and make progress in smaller steps via experimental iterations.
• Proficient at productive cross-functional scientific communication and collaboration with software engineers and computational biologists.
• A passion for innovation and demonstrated initiative in tackling new areas of research.

Nice to haves:

• Deep domain-specific experience in computational biology, genomics, proteomics or a related field.
  
• Experience in building DL models for genomic data, with knowledge of state-of-the-art DNA foundation models.
  
• Experience in NGS data analysis and bioinformatic pipelines.
  
• Experience with containerized cloud computing environments such as Docker in GCP, Azure, or AWS.
  
• Experience in a production software engineering environment, including the use of automated regression testing, version control, and deployment systems.
  

Benefits and additional information:

The US target range of our base salary for new hires is $199,675.00 - $283,500.00. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.  Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ freenome.com/job-openings/ for additional company information.  

Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Applicants have rights under Federal Employment Laws.  

• Family & Medical Leave Act (FMLA)
• Equal Employment Opportunity (EEO)
• Employee Polygraph Protection Act (EPPA)

#LI-HYBRID

Are you a theoretical mathematics expert eager to shape the future of AI? Large-scale language models are rapidly advancing, and their ability to handle rigorous proof-based reasoning depends on high-quality mathematical training data. With your advanced expertise, tomorrow’s AI can better understand abstraction, logic, measure theory, homotopy, and the deep structures of modern mathematics. That training data begins with you - your insight will help power the next generation of AI.

We’re looking for specialists with deep foundations in pure mathematics who can engage with advanced topics across probability theory, measure theory, real and functional analysis, optimization, abstract algebra, and category theory. Coupled with this deep foundation, we need each expert to have a normalized fluency in Lean 4, the proof assistant and programming language. 

On a typical day, you will construct and evaluate complex proofs, substantiate the mathematical reasoning for correctness and rigor while identifying subtle conceptual or logical failures, and translate this material to successfully build in .lean syntax. You will also collaborate with our team to refine prompts, evaluation frameworks, and mathematical reasoning benchmarks, enhancing the overall quality of our operations.

Candidates fluent in Lean 4 with an in-progress or freshly earned PhD or current PostDoc experience in pure mathematics are ideal. A strong command of core areas is required, and applicants should be comfortable with topics such as Markov’s and Chebyshev’s inequalities, Hoeffding bounds, convergence theorems, the Carathéodory extension theorem, the Riesz representation theorem, Banach–Alaoglu, Lax–Milgram, stochastic approximation, Van Kampen’s theorem, the Yoneda embedding, and representability in cohomology. Clear, metacognitive communication (explicitly articulating reasoning and proof strategies) is essential.

Ready to turn your Lean 4 fluidity and pure math expertise into the reasoning backbone of tomorrow’s AI? Apply today and help teach the model that will support researchers, scientists, and engineers around the world.

We offer a pay range of $35 to $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor, you’ll supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply.

Job title: Pure Mathematics and Lean 4 Specialist – Freelance AI Trainer Project
Employment type: Contract
Workplace type: Remote

Experience Required: Entry-level (PhD Program) or Experienced (Postdoc, Faculty, Scientific Lab)

Education: PhD in Math, Science, Engineering and other relevant disciplines

As a Quantitative Researcher at Vatic, you will research and develop innovative quantitative strategies. You’ll explore large-scale market data, applying novel machine learning and artificial intelligence methods to discover and capitalize on trading opportunities. The problems are challenging; we hire top talent, empower them with tools and mentorship, and foster a highly collaborative, open environment. Our researchers are recognized leaders whose work is widely cited in top-tier, peer-reviewed journals.

What You’ll Do

·      Formulate and test hypotheses on vast, multi-modal market datasets.
·      Build and evaluate ML/AI models (e.g., classification, clustering, regression) to identify alpha.
·      Design robust research pipelines and backtests; iterate from idea → signal → portfolio contribution.
·      Collaborate with engineers to productionize strategies and improve research tooling.Required Qualifications
·      PhD or Master’s (earned or in progress) in Computer Science, Statistics, Mathematics, Electrical Engineering, Physics, or related fields.
·      Relevant industry experience, or experience as a Postdoc/Faculty in a scientific lab.
·      Proven ability to analyze large datasets with rigorous ML/AI approaches.
·      Demonstrated ability to generate impactful research (academic or professional).
·      Deep knowledge of time-series analysis.
·      Advanced proficiency in a numerical language; Python (NumPy/SciPy stack) preferred.
·      Exposure to C++ or a related compiled language.
·      Interest in financial markets.Nice to Have
·      Experience with portfolio construction, risk modeling, and transaction cost analysis.
·      Familiarity with distributed computing frameworks and research workflow tooling.
·      Publications or open-source contributions in ML/stats or related areas.What We Value
·      First-principles thinking, high ownership, and a bias for rigorous experimentation.
·      Clear communication and collaboration across research and engineering.
·      Curiosity, humility, and continuous learning.

At Vatic, we’re serious about our work—but we also believe in balance, growth, and having fun along the way. Here’s what you can expect:

• Flat structure with direct executive exposure – Work closely with leadership and make an impact from day one.
• Comprehensive health benefits – Full health insurance coverage for employees and dependents.
• Daily meals provided – Enjoy free lunch at the office.

Please only apply to one of our Job Postings. At the bottom of the application questions below you'll have the option to indicate if there are any other roles here at Radix that you might be interested in. Please do not submit multiple applications for different positions.  

As a Quantitative Researcher, your focus is on identifying trading opportunities, but you can add even more value with strong quantitative skills and some coding proficiency to accelerate the innovation process and help others leverage your work. 
 
By working on a variety of projects with different collaborators over the start of your career, you’ll gain new knowledge and insight into the fundamentals of market dynamics, trading strategies, and our proprietary research platform. We believe in learning through impactful work, so while you learn the intricacies of our industry, you’ll have plenty of opportunities to contribute and directly affect our bottom line within your first few weeks on the team.  
 
While interest in trading is key, a background in finance is definitely not. Our team is built mostly from academia — not from other trading firms. We seek mental diversity and add a select group of academics each year from a wide range of disciplines. 
 
COMPENSATION – Competitive salary, plus quarterly bonus based on individual performance and contribution towards success of others and the firm.
 
Qualifications
 
We’re looking for highly analytical people (math, physics, computer science, statistics, electrical engineering, etc.) who want to help build the research-driven trading firm of the future. To do that, you’ll need the following qualities:

• Currently a PhD Student, Postdoc, Professor, or hold a similar advanced research position at a University
• Persistent Drive to Improve - Do you have an innate desire to rise to the next level, even after great accomplishment?
• Creative Problem Solving and Probabilistic Thinking - You must enjoy learning and implementing new concepts quickly, combining knowledge from different domains to create new ideas, and take a data-driven and probabilistic approach to testing and implementing new ideas.
• Team Mindset - We want people who understand 1+1 > 2 and are as committed to making the team better through sharing ideas as they are driven to improve their individual performance.
• Mental Flexibility & Self Awareness - You’ll have to frequently adapt based on new data, results, and feedback on your trading ideas and your performance.
• Orientation for Making Money - Although we value academic training, our work is not an academic exercise. We take a hacker’s approach to testing ideas, dropping projects that consume time without high upside, and focusing our next efforts on what will create the most value for the firm.

Research / Quant trading strategy skills to have or develop

• Strong intuition and deep thinking with data sets - Designs new alphas, understands complex systems; knows where to start, or ask others where to start
• Demonstrates strong “hacking” ability to quickly get into data to look for empirical relationships and decipher noise or signal
• Familiarity with classical statistical methods and knows when and how to apply them in a rigorous fashion; Easily learns how to apply new statistical methods; will seek out and learn new methods to better solve problem
  • Experience with modern AI techniques and methods or desire to work on Applied Machine Learning Problems a plus
• Constantly questions finance/trading data and stays motivated to seek answers despite most often proving that there is no correlation or signal
• Experience in setup of research framework and execution of projects
• Understanding of financial products, market dynamics, and microstructure
• Experience programming in Low-level computer languages (like C++); awareness of strength in particular language and ability to solve more complex problems due to understanding nuances of the language