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Who is Tenable?
Tenable® is the Exposure Management company. 44,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 45 percent of the Global 2000, and large government agencies. Come be part of our journey!
What makes Tenable such a great place to work?
Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together!
Your Role:
Tenable is seeking a Principal Security Engineer to support demos and evaluations of enterprise opportunities across the territory. Assist in developing business value propositions around Tenable's products and solutions. Drives sales with technical expertise, account management skills, sales ability and a superior customer focus. Participates as part of a sales team to achieve or exceed revenue targets.
Your Opportunity:
What You'll Need:
And Ideally...
#LI-KM1
#LI-Hybrid
We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels. If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance.
Tenable Data Consent Statement
Tenable is committed to protecting the privacy and security of your personal data. This Notice describes how we collect and use your personal data during and after your working relationship with us, in accordance with the General Data Protection Regulation (“GDPR”). Please click here to review.
For California Residents: The California Consumer Privacy Act (CCPA) requires that Tenable advise you of certain rights related to the collection of your private information. Please click here to review.
Ready to apply?
Apply to Tenable, Inc.
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The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.
Our interview process involves several technical interviews and we aim to complete them within 1 week.
What You’ll Do
An Ideal Candidate Should Have
What We Offer
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify 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.
Ready to apply?
Apply to Speechify
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.
#LI-REMOTE
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Apply to FreenomeAbout this opportunity:
At Freenome, we are seeking a Director, Technical Product Management to help grow the Freenome Product Management team. The ideal candidate is a seasoned leader who bridges the gap between complex molecular biology and scalable software products in a regulated environment. This person is responsible for the technical roadmaps, feature prioritization, software requirements, and specification definition related to Lab Information Management Systems (LIMS), laboratory automation, and software managing sample processing-to-result generation. You are passionate about building seamless, high-throughput clinical workflows that ensure data integrity and regulatory compliance, and you 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, Product Management. This role will be a Hybrid (based in our Brisbane, California headquarters) or 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 $220,400 - $281,400. 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
Ready to apply?
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.
Ready to apply?
Apply to Vivodyne
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We’re hiring a Senior Site Reliability Engineer!
Does a competitive salary package with company stock, five wellness days per year, a flexible benefits package of $1000 per year and a fantastic team culture spark your interest?
👋 Meet AlayaCare! We’re a fast-growing SaaS scale-up on a mission to transform aged and disability care across Australia, Canada, the US and beyond. Our platform helps care providers deliver exceptional service in homes, communities, and residential settings.
We’re big on Tech with Purpose and passionate about improving lives - all while having a little fun along the way (we’ve been known to enjoy a team lunch or three).
The Role:
We’re on the lookout for a Senior Site Reliability Engineer who’s ready to bring their self-starting nature, AWS experience & analytical mind to the table. Reporting to the SRE, Engineering Manager, you'll help drive the reliability of our live SaaS solutions across the region.
Your days will involve:
Development, Automation, and Tooling
Reliability and Operations
Requirements and Collaboration
Continuous Improvement
You’ll thrive in this role if you:
Bonus points if you:
We believe great work should be rewarded. Here’s how we show our appreciation:
Belonging matters.
We’re committed to building an organisation that reflects the communities we serve. Diversity, equity, inclusion, and accessibility aren’t just buzzwords here, they’re woven into everything we do.
Need adjustments to participate in the recruitment process? We’ve got you. Just reach out to our HR team: hr-anz@alayacare.com. We do not accept unsolicited CVs from Recruitment Agencies.
Ready to apply?
Apply to AlayaCare
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We’re hiring a Senior Site Reliability Engineer!
Does a competitive salary package with company stock, five wellness days per year, a flexible benefits package of $1000 per year and a fantastic team culture spark your interest?
👋 Meet AlayaCare! We’re a fast-growing SaaS scale-up on a mission to transform aged and disability care across Australia, Canada, the US and beyond. Our platform helps care providers deliver exceptional service in homes, communities, and residential settings.
We’re big on Tech with Purpose and passionate about improving lives - all while having a little fun along the way (we’ve been known to enjoy a team lunch or three).
The Role:
We’re on the lookout for a Senior Site Reliability Engineer who’s ready to bring their self-starting nature, AWS experience & analytical mind to the table. Reporting to the SRE, Engineering Manager, you'll help drive the reliability of our live SaaS solutions across the region.
Your days will involve:
Development, Automation, and Tooling
Reliability and Operations
Requirements and Collaboration
Continuous Improvement
You’ll thrive in this role if you:
Bonus points if you:
We believe great work should be rewarded. Here’s how we show our appreciation:
Belonging matters.
We’re committed to building an organisation that reflects the communities we serve. Diversity, equity, inclusion, and accessibility aren’t just buzzwords here, they’re woven into everything we do.
Need adjustments to participate in the recruitment process? We’ve got you. Just reach out to our HR team: hr-anz@alayacare.com. We do not accept unsolicited CVs from Recruitment Agencies.
Ready to apply?
Apply to AlayaCare
Share this job
We’re hiring a Senior Site Reliability Engineer!
Does a competitive salary package with company stock, five wellness days per year, a flexible benefits package of $1000 per year and a fantastic team culture spark your interest?
👋 Meet AlayaCare! We’re a fast-growing SaaS scale-up on a mission to transform aged and disability care across Australia, Canada, the US and beyond. Our platform helps care providers deliver exceptional service in homes, communities, and residential settings.
We’re big on Tech with Purpose and passionate about improving lives - all while having a little fun along the way (we’ve been known to enjoy a team lunch or three).
The Role:
We’re on the lookout for a Senior Site Reliability Engineer who’s ready to bring their self-starting nature, AWS experience & analytical mind to the table. Reporting to the SRE, Engineering Manager, you'll help drive the reliability of our live SaaS solutions across the region.
Your days will involve:
Development, Automation, and Tooling
Reliability and Operations
Requirements and Collaboration
Continuous Improvement
You’ll thrive in this role if you:
Bonus points if you:
We believe great work should be rewarded. Here’s how we show our appreciation:
Belonging matters.
We’re committed to building an organisation that reflects the communities we serve. Diversity, equity, inclusion, and accessibility aren’t just buzzwords here, they’re woven into everything we do.
Need adjustments to participate in the recruitment process? We’ve got you. Just reach out to our HR team: hr-anz@alayacare.com. We do not accept unsolicited CVs from Recruitment Agencies.
Ready to apply?
Apply to AlayaCare
Share this job
The world is making the shift to cleaner energy, slowly. The planet is changing, fast.
That’s why Akaysha builds, owns, and operates the most powerful mega-scale battery storage solutions of today, and it’s why we’ll continue to build more. But what we are really building is a better future for everyone we share the planet with.
With a 30GWh+ portfolio spanning APAC, the Americas, and the EU and a global team of over 200, should we slow down, or should the world catch up?
As a Specialist OT Engineer, you’ll be joining the IT & Security team responsible for maintaining High System Integrity Protection Scheme (SIPS) Performance at Waratah Super Battery; the most powerful BESS globally. In addition, the team recently achieved commercial operation date (COD) alongside the first full month of operational reporting for Akaysha’s Ulinda Park BESS.
Building on this momentum, the role will focus on establishing and sustaining stable, reliable day-to-day OT system operations across multiple live sites. You will play a key role in supporting BAU activities, maintaining system integrity, and ensuring OT environments operate safely and predictably over time.
Each site presents unique technical and operational considerations, offering the opportunity to deepen your experience in supporting the reliability, performance, and security of operational technology systems. This includes hands on involvement with SCADA servers and HMIs, as well as PCS, BMS, and EMS subsystems, throughout the operations and maintenance phase of largescale energy assets.
Your expertise will be critical in enabling stable, visible and secure OT environments across Akaysha’s portfolio of assets with your work making a tangible impact as you:
Travel to AU sites once every 2-3 months or when needed, is a requirement of this position. The role can be based at Akaysha’s Melbourne (HQ), Sydney or Brisbane office with the option to work in a hybrid capacity – spending time in the office, and at home.
Making an impact in this role will rely on proven expertise in the following areas:
We’re committed to staying ahead of the curve and consider our people to be Akaysha’s greatest asset.
To foster career growth and well-being, we offer professional development support that includes an annual development allowance and additional paid time off, a flexible-use wellbeing allowance, paid parental leave, competitive compensation, performance-based bonuses and long-term incentives.
We believe diverse teams build better solutions for the planet and its people. We’re committed to creating a workplace where everyone feels respected, supported, and able to do their best work, no matter their background, identity, or lived experience.
Be part of today’s most tomorrow company.
Apply now.
Ready to apply?
Apply to Akaysha Energy
Nurix Therapeutics is a clinical stage biopharmaceutical company focused on the discovery, development, and commercialization of targeted protein degradation medicines, the next frontier in innovative drug design aimed at improving treatment options for patients with cancer and inflammatory diseases. Powered by a fully AI-integrated discovery engine capable of tackling any protein class, and coupled with unparalleled ligase expertise, Nurix’s dedicated team has built a formidable advantage in translating the science of targeted protein degradation into clinical advancements. Nurix aims to establish degrader-based treatments at the forefront of patient care, writing medicine’s next chapter with a new script to outmatch disease.
Position Summary
This role owns IT service delivery and vendor operations at Nurix. You will manage our internal service delivery team, oversee our managed service providers, and lead initiatives to improve how IT supports the business. Beyond running day-to-day operations, you will design and evolve Nurix's IT operating model as the company grows.
The goal is not simply to manage vendors, It’s to create a service experience where employees get reliable help, problems get solved quickly, and IT enables rather than slows down the work. You're empowered to restructure vendor relationships, change providers, or build internal capability as needed to achieve that outcome.
This is a growth role. In Year 1, the focus is building a strong operational foundation. As that foundation matures, the role expands toward direct engagement with lines of business as an IT strategic partner.
Responsibilities
Service Delivery
Vendor Operations
Planning & Programs
Collaboration
Qualifications
Preferred
Fit with Nurix Culture and Values
Salary Range: $ 214,637 – $244,431
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/).
Ready to apply?
Apply to Nurix
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:
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.
#LI-HYBRID
Ready to apply?
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
Ready to apply?
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
Ready to apply?
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 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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