All active Machine Learning roles based in Brisbane.
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About this opportunity:
At Freenome, we are seeking a Senior Software Engineer II to join our innovative Engineering team. The ideal candidate is an experienced backend engineer with a strong background in developing scalable and reliable software solutions. You will play a crucial role in designing, building, and maintaining backend services that support our mission to detect cancer early. This position requires a collaborative mindset, as you will work closely with an interdisciplinary team of engineers, scientists, and product managers to deliver high-quality software solutions. You are passionate about software development best practices 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 our engineering management team. This role will be a Remote role.
What you’ll do:
Must haves:
Nice to haves:
Benefits and additional information:
The US target range of our base salary for new hires is $161,925 - $227,325. 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.
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Apply to FreenomeWe accelerate the successful discovery, design, and development of human therapeutics by testing on large, lab-grown human organ tissues at massive scale, driving technological advancement at the convergence of novel biology, robotics, and AI. We identify and validate new therapeutic targets and de-risk new therapeutic assets by producing clinically translatable multi-omic data from our proprietary, physiologically-realistic human organ tissues at unprecedented scale, speed, and quality. This enables us to produce more human data than all clinical trials in the U.S. combined. We’re financially backed by some of the most selective and successful venture funds, and we have already partnered with a majority of the top 10 multinational pharmaceutical companies to discover and develop better, safer drugs and dramatically reduce the burden of animal testing.
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The Software & Data Science team at Vivodyne tackles some of the hardest problems at the intersection of human biology, large-scale data, and machine learning using uniquely rich imaging and multi-omics datasets from lab-grown human tissues.
We are expanding our capabilities to generate high-throughput -omics data across automated human tissue models, with a primary focus on single-cell and bulk transcriptomics, secretomics, and proteomics. We're looking for a Bioinformatician who can develop new analytical methods and build robust infrastructure to support them at scale.
You will define how we process, store, integrate, and interpret biological datasets, making foundational decisions that shape the long-term utility of our data for internal research, AI/ML model development, and external partners. This means owning both the science (what question does this analysis answer, and how defensible is the conclusion?) and the engineering (does this pipeline run reliably at scale, and can someone else extend it?).
This is a high-impact, cross-functional role. You'll sit within the Software & Data Science organization and collaborate daily with experimental biologists, AI/ML researchers, software engineers, and client-facing teams.
This is a full-time, onsite role in San Francisco.
Vivodyne, Inc. is an equal opportunity employer. Vivodyne complies with all laws respecting equal employment opportunity and does not discriminate against applicants with regard to any protected characteristic as defined by federal, state, and local law.
Compensation will be determined based on several factors including, but not limited to, skill set, years of experience, and the employee’s geographic location.
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About this opportunity:
At Freenome, we are seeking a Senior Manager, Product Marketing - Blood Testing Portfolio to help grow the Freenome Marketing team. In this role, you will be instrumental in helping us launch our first products and driving adoption in the clinic. This position is responsible for architecting and executing marketing strategies that resonate across a complex healthcare ecosystem, inspiring action among providers and the patients they serve. The work centers on championing our pipeline of blood-based screening tests—including our lung cancer screening solution and future indications—ensuring our customers are empowered and informed by the next generation of early detection technology. This role is a vital pillar in Freenome’s mission to redefine the patient-provider experience and fundamentally shift the landscape of cancer through the power of multi-cancer screening.
The role reports to the Director, Product Marketing. This role will be a Remote role.
What you’ll do:
Must haves:
Nice to haves:
Benefits and additional information:
The US target range of our base salary for new hires is $161,925 - $232,575. 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.
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Associate Director, Quantitative Pharmacology and Pharmacometrics
Nurix Therapeutics is a biopharmaceutical company focused on the discovery, development and commercialization of small molecule therapies designed to modulate cellular protein levels as a novel treatment approach for cancer and immune disorders. Leveraging Nurix’s extensive expertise in E3 ligases together with its proprietary DNA-encoded libraries, Nurix has built DELigase, an integrated discovery platform to identify and advance novel drug candidates targeting E3 ligases, a broad class of enzymes that can modulate proteins within the cell. Nurix’s drug discovery approach is to either harness or inhibit the natural function of E3 ligases within the ubiquitin proteasome system to selectively decrease or increase cellular protein levels.
Nurix’s wholly owned pipeline comprises targeted protein degraders of Bruton’s tyrosine kinase, a B-cell signaling protein, and inhibitors of Casitas B-lineage lymphoma proto-oncogene-B, an E3 ligase that regulates T cell activation.
Position
The Associate Director in the Clinical Pharmacology group will contribute to pharmacometric efforts across early and late-stage programs. As an early member of the Clinical Pharmacology group, you will have an opportunity to influence the direction of the clinical pharmacology group at Nurix. The successful applicant shall be proficient in developing and executing PK/PD modeling and simulation activities, such as but not limited to population PK/PD modeling, physiologically-based PK (PBPK) modeling and quantitative systems pharmacology (QSP) modeling. This includes data analysis and interpretation and presentation of findings to optimize doses, dosage regimens and study designs. The candidate will also author and review clinical pharmacology documents for submission and/or response to regulatory agencies. The candidate will be influential across multiple functions including individual contributors, development program teams, and the executive team.
Responsibilities
Qualifications
Salary Range: 208K– 240K plus bonus & equity.
Location: Brisbane, CA – Onsite
Nurix Therapeutics, Inc. is committed to protecting and respecting your privacy and personal information, including information collected by Nurix when you apply for a job with Nurix or in the course of your employment with Nurix. By applying for a position at Nurix, you agree to our collection and use of personal information as described in our Privacy Policy (https://www.nurixtx.com/privacy-policy/).
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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:
Experience/Qualifications:
Required:
Preferred:
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.
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About this opportunity:
We are seeking a FP&A Manager to help grow the Freenome Finance team. The FP&A Manager will support planning for key business processes and requires strong financial reporting, forecasting, planning and modeling skills and excellent communication and collaboration skills and business judgment. The ideal candidate is both technically sound and can be a proactive internal consultant, beyond their analytical prowess through their understanding of secondary data, industry knowledge, and track record of innovative and impactful decision support. You will be a strategic architect of our financial future, moving beyond static reporting to provide the actionable insights that drive our commercial scale.
The role reports to the Chief Financial Officer (CFO) and is a critical and high visibility position interacting heavily with the business.
You are passionate about Finance and desire to have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer.
What you’ll do:
Strategic Business Partnering:
Proactive Budget Management:
Actionable Analysis and Reporting:
Systems Innovation and AI Integration:
Must haves:
Nice to haves:
Benefits and additional information:
The US target range of our base salary for new hires is $146,775 - $183,750. 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.
#LI-HYBRID
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Apply to FreenomeTiming is everything! If you are passionate about Freenome's mission and want to contribute in a meaningful way, we encourage you to submit your CV or resume.
About Freenome
Freenome is on a mission to empower everyone with the tools they need to detect, treat, and ultimately prevent diseases.
By applying advanced machine learning techniques to recent breakthroughs in genomic science, Freenome is developing simple blood tests to detect early-stage cancer and make treatments more effective. The company has raised $238 million from investors such as RA Capital, Polaris Partners, Perceptive Advisors, Andreessen Horowitz, funds and accounts advised by T. Rowe Price Associates, Inc., GV (formerly Google Ventures), Roche Venture Fund, Kaiser Permanente Ventures, American Cancer Society’s BrightEdge Ventures, Data Collective Venture Capital, Novartis and Verily Life Sciences (formerly Google Life Sciences).
Our Science
Freenome is building technology to gain an understanding of the body through several analytes derived from blood. These signals include cell-free DNA, methylation of cell-free DNA, cell-free RNA, circulating proteins, and immune profiling derived from thousands of prospective samples. By developing novel statistical learning methods and applying them to integrate various -omics datasets, Freenome is a leader in modeling specific biological mechanisms to capture disease dependent signatures such as gene expression, immune response, tumor burden, the tissue of origin, and 3D chromatin structure.
By building comprehensive discovery datasets and modeling critical biological systems, Freenome is learning what biological changes are present within the blood between a variety of different disease states including cancer, autoimmune disorders, infections, drug response, and aging. With the combination of Freenome’s datasets, cross-functional technical expertise, and mission to uncover the biological truth, we seek to positively change the lives of millions through the early detection and early treatment of disease.
Our Culture
Freenomers are technical and creative, visionary and grounded, empathetic and passionate. We build teams around divergent expertise, which allows us to solve problems and uncover opportunities in unique ways. Freenomers are some of the most talented experts in their fields, coming together to advance healthcare one breakthrough at a time.
We value empathy, integrity, and trust in one another. That means embracing other’s perspectives, those of our coworkers and those of the patients and communities we serve. It means knowing when to push, and when to listen. At Freenome, we give each other the benefit of the doubt in the belief that we’re all working as a team toward the same goals, and empower others to grow in a collaborative environment.
What does a successful person look like at Freenome?
Those who thrive at Freenome prioritize, manage, and execute their own goals in alignment with those of the company. They embrace our values of empathy, integrity, and trust, and hold themselves and their team accountable. They crave collaboration with brilliant minds from unfamiliar fields of study and believe that hiring and mentorship are fundamental to our success. Above all, they welcome and provide constructive feedback and criticism, trusting in the good intentions of others, and secure in the knowledge that embracing mistakes is the best way to learn and move on. For those who crave challenges, understudied problems, and the chance to see their work impact the lives of millions of people affected by cancer every year, there’s no better place to be.
Freenome is proud to be an equal opportunity employer, we value diversity in every way. Freenome does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.
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Apply to FreenomeAbout this opportunity:
At Freenome, we are seeking a Sr. Director, Finance to build and shape our Finance team. The ideal candidate will be a strategic and hands-on leader with experience building scalable public company finance organizations. This is a high-impact leadership role responsible for the Financial Planning and Analysis (FP&A), business partnering, and finance operations functions. This role offers a unique opportunity to architect our financial engine. You won’t just be reporting numbers, you will be building the systems, teams and insights that guide our executive team. You will be instrumental in enabling Freenome to bring our early detection tests to patients - changing the entire landscape of cancer.
The role reports to the Chief Financial Officer (CFO). This role will be a Hybrid role based in our Brisbane, California headquarters.
What you’ll do:
Must haves:
Nice to haves:
Benefits and additional information:
The US target range of our base salary for new hires is $229,900 - $294,788. 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.
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Apply to FreenomeAbout this opportunity:
At Freenome, we are seeking a Senior Machine Learning Research Engineer to join the Machine Learning Science (MLS) team, within the Computational Science department. The ideal candidate has a strong knowledge in designing and building deep learning (DL) pipelines, and expertise in creating reliable, scalable artificial intelligence/machine learning (AI/ML) systems in a cloud environment.
The MLS team at Freenome develops DL models using massive-scale genomic data that presents significant challenges for current training paradigms. The Senior Machine Learning Research Engineer will primarily be responsible for developing and deploying the infrastructure needed to support development of such DL models: enabling distributed DL pipelines, optimizing hardware utilization for efficient training, and performing model optimizations. As part of an interdisciplinary R&D team, they will work in close collaboration with machine learning scientists, computational biologists and software engineers to accelerate the development of state-of-the-art ML/AI models and help Freenome achieve its mission of reducing cancer mortality via accessible early detection.
The role reports to the Director of Machine Learning Science. This can be a hybrid role based in our Brisbane, California headquarters (2-3 days per week in office), or remote.
What you’ll do:
Must haves:
Nice to haves:
Benefits and additional information:
The US target range of our base salary for new hires is $161,925 - $227,325 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.
#LI-REMOTE
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Apply to FreenomeAbout 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:
Must haves:
Nice to haves:
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.
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Apply to FreenomeAbout this opportunity:
Freenome is seeking a highly analytical and systems-savvy Senior People Systems and Data Analyst to elevate our People data capabilities and drive insight-led decision-making. This role will own the development of dashboards, analytics, and reporting that provide visibility into workforce trends and inform hiring, retention, engagement, and organizational planning strategies. This individual will transform People data into actionable insights through advanced analytics, scalable dashboards, and strong data storytelling. While the role maintains ownership of People systems and data integrity, its primary focus is generating insights that enable better business decisions.
The role reports to the Director, People Operations. This role will be a Hybrid role.
What you’ll do:
Must haves:
Nice to haves:
Benefits and additional information:
The US target range of our base salary for new hires is $120,275 - $170,100. 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.
#LI-HYBRID
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Apply to FreenomeAbout 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:
Must haves:
Nice to haves:
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.
#LI-HYBRID
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We accelerate the successful discovery, design, and development of human therapeutics by testing on large, lab-grown human organ tissues at massive scale, driving technological advancement at the convergence of novel biology, robotics, and AI. We identify and validate new therapeutic targets and de-risk new therapeutic assets by producing clinically translatable multi-omic data from our proprietary, physiologically-realistic human organ tissues at unprecedented scale, speed, and quality. This enables us to produce more human data than all clinical trials in the U.S. combined. We’re financially backed by some of the most selective and successful venture funds, and we have already partnered with a majority of the top 10 multinational pharmaceutical companies to discover and develop better, safer drugs and dramatically reduce the burden of animal testing.
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The Director, Business Development is a senior individual contributor responsible for sourcing, advancing, and closing strategic partnerships pharmaceutical companies. This role carries a significant individual bookings target and is accountable for building and converting a high-quality pipeline aligned with Vivodyne’s commercial priorities.
The Director, BD will operate with a high degree of autonomy and strategic judgment; owning account strategy, shaping deal structures, and leading cross-functional execution across Science, Bio, Legal, and Finance. Success in this role requires balancing hands-on deal execution with thoughtful account planning and market insight.
Carry and deliver against an individual quarterly and annual bookings target.
Source, qualify, and advance new partnership opportunities with mid-sized and large pharma companies and AI/data-centric partners.
Lead opportunities through the full deal lifecycle: discovery → scoping → proposal → negotiation → close.
Shape opportunity-specific deal structures including pilot studies, discovery programs, efficacy/tox engagements, and data-enabled collaborations.
Own follow-through and momentum on active deals to ensure timely progression and closure.
Run weekly pipeline reviews to reduce slippage, re-qualify deals, and improve forecast accuracy.
Account Strategy & Pipeline Management
Develop and execute account-level strategies for a defined set of target and active accounts.
Build and maintain a robust personal pipeline aligned with revenue goals and priority therapeutic areas.
Conduct stakeholder mapping to identify scientific, operational, and commercial decision-makers and influencers.
Expand existing accounts by identifying adjacent research groups, new use cases, or follow-on program opportunities.
Maintain accurate CRM hygiene, deal staging, and pipeline updates.
Strategic Contribution
Translate Vivodyne’s platform capabilities into tailored value propositions aligned to customer discovery-stage needs.
Provide structured market and customer feedback to inform leadership, product positioning, and messaging.
Contribute to the evolution of deal archetypes, pricing approaches, and engagement models based on learnings.
Collaborate with Marketing and Bio teams to refine scientific narratives and customer-facing materials.
Deliver structured market and customer intelligence to leadership to refine positioning, pricing/deal archetypes, and therapeutic-area prioritization.
Cross-Functional Deal Leadership
Quarterback cross-functional deal teams, coordinating inputs from Science, Bio, Legal, and Finance.
Ensure technical feasibility and resourcing alignment before advancing proposals.
Partner with Legal and Finance during contracting and commercial negotiations.
Communicate deal status, risks, and forecast updates clearly to BD and company leadership.
Lead contracting and commercial negotiations to close efficiently (anticipate pharma procurement/legal patterns, manage redlines/risks, drive velocity through clear negotiation strategy).
Event Engagement
Represent Vivodyne at key industry conferences and scientific meetings.
Execute targeted meeting strategies and follow-up plans to support personal pipeline goals.
Participate in seminars, site visits, and customer-facing scientific discussions as needed.
Capture and operationalize field intel from conferences (themes, objections, competitor claims) into messaging updates and enablement for the broader BD/GTM team.
Execute rigorous post-event follow-up with clear conversion targets to advance opportunities toward close.
7–10+ years of business development or alliance experience in biotech or pharma.
Proven success carrying an individual quota and closing complex, multi-stakeholder deals.
Experience supporting or working within discovery platforms, preclinical services, or advanced research.
Strong understanding of drug discovery workflows and customer decision dynamics.
Ability to translate complex science into clear, customer-aligned value propositions.
Highly organized, with experience managing end to end sales cycles and a sizable personal pipeline.
Preferred
Familiarity with oncology discovery, RNA modalities, and/or preclinical toxicology.
Exposure to AI/ML-enabled discovery or data-driven collaboration models.
Experience working with novel or emerging platform technologies.
Vivodyne, Inc. is an equal opportunity employer. Vivodyne complies with all laws respecting equal employment opportunity and does not discriminate against applicants with regard to any protected characteristic as defined by federal, state, and local law.
Compensation will be determined based on several factors including, but not limited to, skill set, years of experience, and the employee’s geographic location.
Ready to apply?
Apply to Vivodyne
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We accelerate the successful discovery, design, and development of human therapeutics by testing on large, lab-grown human organ tissues at massive scale, driving technological advancement at the convergence of novel biology, robotics, and AI. We identify and validate new therapeutic targets and de-risk new therapeutic assets by producing clinically translatable multi-omic data from our proprietary, physiologically-realistic human organ tissues at unprecedented scale, speed, and quality. This enables us to produce more human data than all clinical trials in the U.S. combined. We’re financially backed by some of the most selective and successful venture funds, and we have already partnered with a majority of the top 10 multinational pharmaceutical companies to discover and develop better, safer drugs and dramatically reduce the burden of animal testing.
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As a Principal Mechanical Engineer at Vivodyne, you will be part of a multi-disciplinary team pushing the boundaries of automated, large-scale "organ-on-a-chip" robotics and related manufacturing systems. Your focus will be on developing and optimizing hardware and software that orchestrates robotic arms, embedded controllers, and microfluidic systems to enable high-throughput, high-precision biological workflows.
This role requires expertise across hardware and software, but primarily hardware. From high-level motion control and machine vision to robotics programming and embedded firmware. You’ll work extensively with existing Python (less so with, C#, and C++) codebases, ensuring seamless system integration and performance.
You are a mechanical design expert. Things like kinematic docking, 440 vs 316, FEA, and error budgets are very familiar to you. Your friends include McMaster-Carr, Misumi, and Grainger.
Collaboration is key—you’ll engage with mechanical engineers, biologists, immunologists, AI scientists, and process engineers to design and refine automation workflows that drive breakthroughs. We’re looking for a problem solver comfortable working across multiple domains, thriving in a fast-paced, high-innovation environment that values continuous learning and technical excellence.
This is a full-time, onsite role in San Francisco, where you’ll be designing, building, and testing some of the most advanced automation and high-throughput biology systems in the world.
If you're excited about revolutionizing automation in organoid engineering and biotech—while pushing the boundaries of robotics, AI, and advanced systems—let’s connect! Please submit your resume and a brief statement of interest. We look forward to exploring the opportunity together.
Vivodyne, Inc. is an equal opportunity employer. Vivodyne complies with all laws respecting equal employment opportunity and does not discriminate against applicants with regard to any protected characteristic as defined by federal, state, and local law.
Compensation will be determined based on several factors including, but not limited to, skill set, years of experience, and the employee’s geographic location.
Ready to apply?
Apply to Vivodyne
We accelerate the successful discovery, design, and development of human therapeutics by testing on large, lab-grown human organ tissues at massive scale, driving technological advancement at the convergence of novel biology, robotics, and AI. We identify and validate new therapeutic targets and de-risk new therapeutic assets by producing clinically translatable multi-omic data from our proprietary, physiologically-realistic human organ tissues at unprecedented scale, speed, and quality. This enables us to produce more human data than all clinical trials in the U.S. combined. We’re financially backed by some of the most selective and successful venture funds, and we have already partnered with a majority of the top 10 multinational pharmaceutical companies to discover and develop better, safer drugs and dramatically reduce the burden of animal testing.
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The AI Team at Vivodyne tackles some of the hardest and most interesting challenges in science and engineering. With access to extraordinarily feature-rich and massive-scale Vivodyne human tissue imagery, we are advancing the frontiers of artificial intelligence and its applications in biology. We are building a portfolio of AI technologies to automate the discovery, development, and de-risking of novel therapies using our unique technology platform, including single-cell 3D phenomics/machine vision, multimodal (multi-omic) translation, and reinforcement learning for robotic planning & study design, among others.
As an AI Senior Scientist, you will leverage your deep expertise in developing large-scale models (including Transformer, Diffusion, and hybrid architectures) and Generative AI solutions to help turn our state-of-the-art imaging and multi-omics datasets into groundbreaking scientific insights. You will collaborate closely with biologists, engineers, and AI specialists to deliver robust, production-ready algorithms and models that power Vivodyne’s high-impact discoveries.
This role will be based on-site at our offices in Brisbane, California
Scientific Innovation — Work closely with internal and external stakeholders to understand their scientific objectives and innovate new approaches that utilize Vivodyne’s massive-scale imaging and multi-omics datasets.
Model Development — Lead hands-on development of cutting-edge machine learning models (Transformers, Diffusion, hybrid architectures, etc.) with a focus on image processing, image enhancement, and Phenomap embeddings.
Data Pipeline Optimization — Build and deploy pipelines capable of scaling to petabyte-scale data, ensuring robust MLOps practices on AWS or equivalent cloud platforms.
Multimodal Integration — Explore and develop novel methods to incorporate multi-omics data into imaging-based Phenomaps, advancing the state of the art in multimodal phenotypic analysis.
Collaboration & Communication — Partner with tissue engineers, microfluidics experts, and robotics engineers to refine data collection strategies, provide feedback on imaging system performance, and identify opportunities for improved AI-driven solutions.
Scientific Rigor & Leadership — Uphold scientific excellence through peer reviews, proper documentation, and clear communication. Drive a culture of continuous improvement, best practices, and adherence to rigorous research methodologies.
Scalability & Efficiency — Emphasize modularity, composability, and performance efficiency in designing and implementing high-throughput compute and analytics pipelines.
Domain & Technical Growth — Remain current with the latest research trends in Generative AI, biomedical imaging, cloud computing, and data-intensive training. Proactively share knowledge and mentor teammates to foster overall organizational expertise.
Vivodyne, Inc. is an equal opportunity employer. Vivodyne complies with all laws respecting equal employment opportunity and does not discriminate against applicants with regard to any protected characteristic as defined by federal, state, and local law.
Compensation will be determined based on several factors including, but not limited to, skill set, years of experience, and the employee’s geographic location.
Ready to apply?
Apply to Vivodyne
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