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.

Job Summary:

As a key member of the cross-functional Development Team responsible for providing regulatory writing expertise and leadership to formulate the writing strategy for key regulatory documents for submission. The Sr. Director, Head of Regulatory & Medical Writing will be responsible for providing guidance to the medical and or regulatory writing group (contractors and internal writers) assigned to deliverables and ensuring appropriate work allocation and document preparation.; will also provide review and substantive editing of documents to ensure delivery of high-quality documents. This individual will work effectively with many other functional groups, including with Clinical Scientist(s), Medical Monitors, Regulatory and other functions as applicable, and collaborate with clinical medical writing as applicable to ensure scientific excellence in the execution of clinical trials. The Head of Regulatory Writing will build a medical writing group internally when appropriate.

Reporting to the SVP, Head of Regulatory Affairs, this role will be responsible for the regulatory writing & medical writing deliverables of assigned project(s), in accordance with the agreed timelines and quality standards.

Responsibilities:

• Ensure appropriate allocation of internal and external resources needed for all regulatory writing deliverables.
• Hire and manage medical writers internally and manage external medical writing contractors.
• Forecasting and maintaining budget for the regulatory writing team.
• Assess efficiencies, help identify areas of improvement and initiate improvement processes.
• Coordinate, author and edit documents used to support clinical trial conduct and reporting including but not limited to:
• Clinical study protocols and clinical protocol amendments (in partnership with Clinical Science/Clinical Development)
• Clinical study reports
• Investigator’s brochures and annual updates
• IND submissions and annual reports
• Lay-person summary
• Integrated summary reports
• Clinical, Nonclinical and Multidisciplinary Information Amendments
• NDA, BLA, MAA, (e)CTD submissions
• Risk Management Plans
• Health Authority responses
• Briefing Documents, ODDs, BTDs/PRIME, FTD etc
• Participate in relevant subteam(s) and ensure effective planning and management of timelines for all components of assigned documents across all projects.
• Participate in document strategy sessions, including messaging, document flow, logic, and consistency for assigned projects.
• Support and develop deliverables required for global transparency and disclosure requirements (e.g., plain language lay summary, applicable redactions to regulatory documents subject to EU posting regulations and results for EU CTR).Partner with Biometrics in developing standard TFLs and in text tables for deliverables as applicable
• Maintain and support developing and reviewing standard processes and templates.
• Review and edit documents as required.
• Work effectively and lead in cross-functional working groups.

Qualifications:

• Candidates must have a BS with 15+ years, or MS or other advanced science degree (e.g.: RN, NP, MSN, PharmD, PhD, MD) with 10+ years of experience in oncology clinical research experience as a clinical or regulatory medical writer within the pharmaceutical/biotech industry.
• Prior experience leading a regulatory writing group
• Experience writing/leading the writing of critical clinical documents in major regulatory filings (NDA, BLA, MAA).
• Proficiency in the use and understanding of computer software e.g. word processing, graphics, reference manager, document management systems.
• Familiarity with all phases of drug development processes (discovery to market), clinical study protocol design, CTA/IND submissions, investigator’s brochures and clinical study data collection and results reporting.
• Advanced knowledge of routine document content preparation, including the use of style guides, medical dictionaries, and regulatory guidance documents and templates.
• Experience writing, at a minimum, protocols (Phase 1-3, in oncology), investigator’s brochures, clinical study reports, Health Authority briefing packages, and Health Authority responses. Experience with Pediatric Investigational Plans (PIPs) is preferred.
• Advanced understanding/knowledge of regulatory requirements and drug development processes, Good Clinical Practice (GCP), regulatory requirements and guidelines associated with regulatory documents (e.g., protocols, investigator brochures, and clinical study reports).
• Ability to interpret and summarize complex tabular and graphical data presentations.
• Strong organization, documentation and communication skills with an ability to multitask.
• Adaptable / flexible, willing and able to adjust to multiple demands and shifting priorities; ability to meet day-to-day challenges with confidence and professionalism.
• Detailed knowledge of GCP, ICH Guidelines and current US FDA regulations.

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/).

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:

• Become a Vulnerability and Risk Management SME and advisor to some of the world’s largest organizations
• Meet with prospective clients to discover what their biggest security challenges and highest priority business drivers are
• Map Tenable’s unique business value and differentiators to their challenges and business drivers
• Perform custom portfolio demonstrations based on strong discovery question and real intel
• Partner with like-minded peers across Tenable to build exceptionally strong teams and shared knowledge
• Influence product directions, make a difference and be part of Tenable’s growth and leadership in the ever faster-moving world of network security
• Up to 25% travel

What You'll Need:

• Prior experience working in a security-related technical pre-sales role
• Understanding how to craft a custom demo vs delivering a canned demo
• Skill and confidence in leading discussions from a deep technical level to the executive level
• A strong self-starter attitude and determination to win
• Solid teamwork skills, teamwork is everything at Tenable
• Solid Interpersonal “smarts”
• Willingness to travel where and when needed within your territory, typically around 25% on average

And Ideally...

• Experience with Nessus and/or other network security technologies
• Solid foundational knowledge of TCP/IP and network security concepts
• Experience with Enterprise class operating systems at the security admin level
• Demonstrable experience with modern computing infrastructures such as AWS, Azure, GCP, OpenStack, etc.
• Docker and DevOps knowledge, API scripting, Python SDK
• Knowledge of compliance standards (e.g., PCI, FISMA, SOX, NERC)
• BS in Computer Science or related field, 10+ years of direct SE experience
• CISSP, GIAC, CEH, or other security-related certifications

#LI-KM1

#LI-Hybrid

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

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

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.

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:

• Design, develop, and deploy reliable, maintainable, scalable, and fault-tolerant backend services that power both our internal and external systems.
• Collaborate with interdisciplinary teams, including scientists, product managers, and other engineers, to solve complex problems and deliver high-quality software solutions.
• Mentor and guide junior engineers, fostering their growth and enhancing the team's technical expertise.
• Lead code and design reviews, champion engineering best practices and promote a culture of quality and collaboration.
• Contribute to the development of data infrastructure for machine learning applications, ensuring efficient data processing and integration.
• Drive the implementation of engineering hygiene practices, ensuring the reliability and maintainability of our systems.
• Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality.
  

Must haves:

• Bachelor of Science in Computer Science, Engineering, or related field or equivalent training, fellowship, and/or work experience.
• At least 8 years of experience as part of a software development team successfully shipping software products, including leading projects from end-to-end and mentoring others.
• Proficiency in Python and experience with backend development in a team production environment.
• Strong experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud Platform.
• Proven experience in designing and implementing scalable backend systems, with a focus on reliability and performance.
• Excellent written and verbal communication skills, with a mindful and transparent approach to collaboration.
  

Nice to haves:

• Understanding of statistical and machine learning methods, with practical experience in applying them to real-world problems.
• Expertise in developing ETL or data pipelines that run at scale, utilizing common workflow management systems like Flyte, Airflow, or similar.
• Domain-specific experience in computational biology, genomics, bioinformatics, or a related field.
• Experience working in an FDA regulated environment, with a strong understanding of compliance requirements and best practices.
  

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.  

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

#LI-REMOTE

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:  Biosample Manager 

Nurix Therapeutics, Inc. is seeking a Biosample Manager to join the Clinical Operations team. This is an onsite role. This individual will work cross functionally, with both internal and external stakeholders, to plan, coordinate, and oversee all operational activities required to manage the lifecycle of the clinical biosamples and support translational research.

Responsibilities:

Study Management

• Provide guidance during protocol and informed consent form development to ensure logistical feasibility of biosample handling, alignment with planned analyses and ICH/GCP compliance
• Participate in the CRF development process to ensure that biosample information is appropriately captured for sample tracking and reconciliation purposes
• Serve as the functional lead as a member of the Clinical Study Teams and provide regular biosample metrics/trends and status updates
• Partner with cross-functional teams to ensure timely delivery of biosample data to meet publication and study goals

Biosample and Vendor Management

• Provides operational leadership on vendor and sample management activities, including design of central lab specifications at study start or amendments
• Oversee kit design, sample processing, and sample logistics to ensure that the investigator sites can meet the sample handling needs of the study
• Plan, coordinate and oversee sample shipments and query resolution at laboratory vendors
• Manage the sample management system to track the life cycle of the samples, identify trends and gaps, and support sample reconciliation
• Provide training and guidance to the investigator sites and study monitors for biosample collection, handling and shipment
• Manage laboratory vendors, overseeing vendor selection, technology transfers, budgets, contract management, and data management
• Develop and maintain biosample operations SOPs and WPs

Qualifications:

• B.S. in biological sciences with 8+ years of relevant industry experience
• Knowledge of FDA, ICH/GCP, and GDPR regulations and guidelines
• Proven track record of sample management, data management and vendor management skills
• Developed central lab specifications and logistics for global studies at study start or protocol amendments with cross-functional collaboration
• Ability to develop and manage workflows and data sets
• Proficiency in MS Office including with advance Excel skills
• Good initiative and ability to work independently
• Ability to work in a fast-paced environment
• Excellent written and interpersonal communication skills
• Detail oriented with the ability to manage multiple competing priorities
• Effective team player and ability to collaborate with cross functional clinical study teams
• Onsite role 

Salary Range:  140K - 180K plus equity and bonus 

Nurix is an Equal Opportunity Employer offering a competitive salary and benefits package. Applicants should be legally entitled to work for any employer in the US.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/). 

Mission

Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You’ll Do

• Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
• Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
• Ship cloud functions, lightweight backend services, and jobs using Kotlin

An Ideal Candidate Should Have

• Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
• Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Preferred Tech Stack:
  • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) 
  • Prior experience with GCP is a plus

What We Offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.

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.

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

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

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.

About 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:

• Define and execute the multi-year technical roadmap for IVD/LDT software platforms, ensuring alignment with clinical needs and regulatory requirements.
• Lead feature prioritization and software requirements definition of LIMS, lab automation, and software managing the sample processing-to-result generation to optimize high-throughput sample processing and data integrity.
• Direct the integration of complex diagnostic hardware with cloud-based or on-premise processing software, focusing on seamless end-to-end workflows.
• Ensure all software products comply with global regulatory standards, including FDA, CLIA/CAP, ISO 13485, and HIPAA/GDPR data privacy requirements.
• Collaborate with R&D, Molecular Biology, Clinical Lab, Lab Automation, and Engineering teams to translate complex assay protocols into automated, scalable software requirements.
• Ensure compliance to Software Development Life Cycle (SDLC) for diagnostic products, from initial concept to commercial launch for deliverables owned by Technical Product Management.
• Manage cross-functional dependencies between wet-lab operations, bioinformatics pipelines, and software engineering teams to ensure timely product delivery.
• Establish and monitor key performance indicators (KPIs) for software reliability, processing speed, and diagnostic accuracy in a clinical laboratory environment. 

Must haves:

• 8+ years in Technical Product Management, with at least 4 years specifically in IVD, Medical Devices, or Clinical SaaS.
• Proven experience with LIMS/LIS and laboratory automation workflows.
• Deep familiarity with FDA software guidelines and CLIA regulations.
• BS/MS in Computer Science, Bioengineering, Molecular Biology, or a related field.
• Demonstrated experience managing and scaling technical product teams in a regulated environment.
  

Nice to haves:

• MS or PhD in a technical or scientific field.
• Experience with Next-Generation Sequencing (NGS) data pipelines.
• Hands-on experience with cloud infrastructure (AWS/Azure/GCP) in a GxP environment.

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.  

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

#LI-REMOTE

About this opportunity:

At Freenome, we are seeking a Senior Network Engineer with experience managing enterprise and data center network infrastructure. This person will be part of the team tasked with delivering the network infrastructure for Freenome’s HQ campus. Additionally, this person will be responsible to ensure Freenome’s network infrastructure is scalable and following industry best practices. The ideal candidate will have hands-on experience with enterprise network technologies, automation tools, and a background in managing secure network solutions.

The role reports to the Director, IT. This role will be a Hybrid role.

What you’ll do:

• Lead the architecture design and implementation of the network infrastructure; both on-prem and in Cloud.
• Lead Zero Trust implementation and maintenance.
• Work closely with engineering and laboratory teams to gather requirements, analyze, and propose infrastructure solutions.
• Contribute to the delivery of a global standard network infrastructure.
• Develop and maintain network documentation, including diagrams, policies, procedures, and best practices.
• Troubleshoot and remediate any events impacting the operations and availability of the global network infrastructure.

Must haves:

• A minimum of 5 years Network Engineering experience.
• A minimum of 3 years Firewall security experience.
• A minimum of 3 years experience with configuring and managing Palo Alto Network firewalls.
• Juniper Networks JNCIP-ENT certification or equivalent experience.
• Advanced understanding of network hardware, software, protocols, and technologies.
• Experience with enterprise wireless network solutions and deployments.
• Hands-on experience with SSL and IPsec VPNs.
• Experience with network monitoring, management, and troubleshooting tools.
• Ability to work individually, as well as in a dynamic team environment.
• Strong communication and problem-solving skills.
• Ability to prioritize and manage multiple tasks and projects simultaneously.
• Strong documentation skills.

Nice to haves:

• Experience working in Clinical Diagnostics or Pharmaceutical Manufacturing.
• Expert experience with Juniper Networks products and solutions.
• Expert experience with Palo Alto Network Firewalls, Prisma, and Panorama.
• Experience with efficient iP SOLIDserver DDI.
• Engineering networks in GCP or other cloud providers.

Benefits and additional information:

The US target range of our base salary for new hires is $156,750 - $200,025. 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

Company:

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 (BTK), a B-cell signaling protein, and an inhibitor of Casitas B-lineage lymphoma proto-oncogene-B (CBL-B), an E3 ligase that regulates T cell activation.  Nurix is also progressing multiple programs through partnership, including an IRAK4 degrader in Phase 1 in partnership with Gilead and a STAT6 degrader in IND enabling studies with Sanofi.  Multiple additional wholly owned and partnered programs are at various stages of preclinical development.

Position:

Reporting to the Director, Regulatory Affairs Project Management and Operations, the Senior Associate, Regulatory Operations provides key support to the Nurix Regulatory Affairs department. This position has responsibility for entry-level coordination, review, assembly and archival of regulatory submissions in Veeva RIMS and documents for health authorities (US FDA and global equivalents).  The Senior Associate, Regulatory Operations will provide support for multiple regulatory activities, studies, and programs. The individual will have responsibility to understand and implement regulatory guidance and help ensure regulatory compliance for assigned projects.  The Senior Associate should have 2–3 years’ experience in Regulatory Affairs or Regulatory Operations. Working knowledge of at least one functional discipline (e.g. Regulatory, Clinical, Nonclinical, Clinical Pharmacology or Chemistry Manufacturing and Controls) and a general knowledge of clinical development preferred.  The candidate should have a can-do attitude and experience working in Veeva RIMS. Also, the candidate should be eager to learn regulatory and clinical trial requirements, best practices, and provide support for Regulatory programs and leadership. 

Responsibilities:

• Under the strategic direction of the SVP of Regulatory Affairs and the Director of Regulatory Affairs PM and Operations, the candidate will support the planning, coordination, tracking and execution of submissions and responses to global regulatory authorities
• Assist Regulatory team, project teams and Clinical Research Organization (CRO) counterparts in the implementation of regulatory plans, timely delivery, and submission of regulatory documentation
• Preparation of Regulatory submission documentation (e.g Forms, Cover Letter) as requested
• Support team with formatting, QC and publishing of submission documents and packages
• Manage and support Veeva RIMS processes such as HAI, SCP and Archiving
• Manage authoring and review workflow in Veeva RIMS according to defined timelines
• Coordinate with regulatory colleagues and cross-functional departments to prepare, compile, review, and submit documents or information necessary to health authorities in accordance with regulations, guidelines or queries IN Veeva RIMS using SCP
• Maintain archival copies of health authority submissions (e.g., IND, CTA, NDA, and MAA), correspondence and a record of health authority obligations, and commitments
• Maintain current knowledge of applicable US and global regulations, guidance, and standards for drug development and product registration. Participate in Regulatory Intelligence activities to help inform team members of new applicable guidelines and conduct training sessions on new guidelines/regulations if necessary
• Participate in kick-off and project-based meetings related to regulatory submissions, strategy, and comment resolution. Be a reliable resource for information following such meetings
• Follow general instructions from Regulatory management or company leadership for assigned projects while independently planning daily work tasks to complete projects on time. Seek guidance on project/task priorities as needed
• Communicate important project decisions or challenges to Regulatory leadership
• Create or contribute to Standard Operating Procedures (SOP), checklists and training Materials for Regulatory department activities
• Support contracts and Purchase order for the Regulatory Affairs department

Requirements:

• Bachelor's Degree in Life Sciences or relevant field
• Minimum of 4-5 years’ experience working in Regulatory Affairs or Regulatory Operations Additional experience in the biotechnology or pharmaceutical industry preferred
• Understanding of the drug development process
• Proficient knowledge of Veeva RIMS SCP, workflows, archival, reporting…
• Experienced publisher (DocuBridge, GlobalSubmit, VeevaVault Submission…)
• Experience successfully supporting critical deliverables while maintaining agreed timelines
• Demonstrated ability to work effectively with cross-functional teams or collaborative environments.
• Basic knowledge of 21 CFR and FDA, ICH, GCP, GMP, eCTD, and global guidelines.
• Previous experience with building electronic submissions in compliance with Health Authority requirements is a plus.
• Previous experience with maintaining in-house repository for archiving regulatory submissions and Health Authority correspondence in 21 CFR Part 11 compliant system (e.g., Veeva) is a plus.
• Able to take ownership of a given assignment, proactively consulting other project team members and other department representatives for information or guidance, as necessary.
• Superior communication skills: oral, written, with proven negotiation skills, and strong time-management.
• Excellent Computer Skills MS Word, Excel, Power Point, Smartsheet and document management software/system, templates.
• Ability to work on multiple tasks and prioritize tasks to meet company objectives. Strong attention to detail and time management skills are essential.

Fit with Nurix Culture and Values

• Strong team orientation; highly collaborative
• Solutions and results-oriented focus
• Hands-on approach; resourceful and open to diverse points of view.

Salary Range:   140K - 160K  plus bonus & equity.

Location:  Brisbane, CA (Onsite role)

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/). 

About 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:

• Implement and refine DL pipelines on distributed computing platforms enhancing the speed and efficiency of DL operations including model training, data handling, model management, and inference.
• Collaborate closely with ML scientists and software engineers to understand current challenges and requirements and ensure that the DL model development pipelines you create are perfectly aligned with scientific goals and operational needs.
• Continuously monitor, evaluate, and optimize DL model training pipelines for performance and scalability.
• Stay up to date with the latest advancements in AI, ML, and related technologies, and quickly learn and adapt new tools and frameworks, if necessary.
• Develop and maintain robust and reproducible DL pipelines that guarantee that DL pipelines can be reliably executed, maintaining consistency and accuracy of results.
• Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation pipelines.
• Act as a bridge facilitating communication between the engineering and scientific teams, documenting and sharing best practices to foster a culture of learning and continuous improvement.

Must haves:

• MS or equivalent experience in a relevant, quantitative field such as Computer Science, Statistics, Mathematics, Software Engineering, with an emphasis on AI/ML theory and/or practical development.
• 5+ years of post-MS industry experience working on developing AI/ML software engineering pipelines.
• Proficiency in a general-purpose programming language: Python (preferred), Java, Julia, C, C++, etc.
• Strong knowledge of ML and DL fundamentals and hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, Jax or Scikit-learn.
• In-depth knowledge of scalable and distributed computing platforms that support complex model training (such as Ray or DeepSpeed) and their integration with ML developer tools like TensorBoard, Wandb, or MLflow.
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and how to deploy and manage AI/ML models and pipelines in a cloud environment.
• Understanding of containerization technologies (e.g., Docker) and computing resource orchestration tools (e.g., Kubernetes) for deploying scalable ML/AI solutions.
• Proven track record of developing and optimizing workflows for training DL models, large language models (LLMs), or similar for problems with high data complexity and volume.
• Experience managing large datasets, including data storage (such as HDFS or Parquet on S3), retrieval, and efficient data processing techniques (via libraries and executors such as PyArrow and Spark).
• Proficiency in version control systems (e.g., Git) and continuous integration/continuous deployment (CI/CD) practices to maintain code quality and automate development workflows.
• Expertise in building and launching large-scale ML frameworks in a scientific environment that supports the needs of a research team.
• Excellent ability to work effectively with cross-functional teams and communicate across disciplines. 
  

Nice to haves:

• Experience working with large-scale genomics or biological datasets.
• Experience managing multimodal datasets, such as combinations of sequence, text, image, and other data.
• Experience GPU/Accelerator programming and kernel development (such as CUDA, Triton or XLA).
• Experience with infrastructure-as-code and configuration management.
• Experience cultivating MLOps and ML infrastructure best practices, especially around reliability, provisioning and monitoring.
• Strong track record of contributions to relevant DL projects, e.g. on github.
  

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.  

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

#LI-REMOTE

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

About this opportunity:

We are looking for an experienced Senior Manager, IT Infrastructure to lead the team through the architecture, design, and implementation of infrastructure technologies that will be critical in providing the technology platform Freenome needs to scale its business. This role will involve new technology implementations and managing the support of current infrastructure including working with supporting vendors. 

The Senior Manager, IT infrastructure will have a deep and broad knowledge of networking, virtualization, server, storage, and operating system technologies, both on-premise as well as in the GCP cloud. This position will work closely with the Information Security team to ensure a compliant and secure infrastructure environment. 

The role reports to the Director, IT. This role will be a Hybrid role.

What you’ll do:

• Leads team of network engineers, system administrators, lab system administrators to support Freenome infrastructure (On prem, Labs and GCP).
• Problem Solving, collaboration, solid comprehension of cloud, virtualization, storage, networking, software and hardware, strategic planning, leadership, mentorship, creating and giving presentations.
• Identify, create, and apply process improvement to increase product and service quality to achieve business objectives.
• Contributes to defining the department's long-term strategy and goals.
• Collaborate with the Help desk and Business Application team to define and implement the infrastructure needed for day to day operations.
• Ensures data security and disaster recovery protocols are in place. Ensuring compliance with regulatory requirements.
• Develops and creates standardized processes and procedures to guide documentation and knowledge base development for IT infrastructure operations support.
• Develops and supports standards for enterprise-wide use of resources. Recommends enterprise level strategies and goals for infrastructure hardware and software procurement and deployment. Writes detailed scopes of work for staff projects.
• Plan, communicate, and deploy changes to IT infrastructure per standard change management process and scheduled maintenance windows. Coordinate IT change and maintenance activities with business stakeholders.
• Maintains IT infrastructure and network diagrams, asset/equipment inventory and IT change/incident logs.
• Supports IT audits and conduct IT systems/network vulnerability scanning, patching and hardening.
• Manage external vendor relationships. 

Must haves:

• 7+ years’ experience in a technology leadership/management role.
• Strong management and technical skills, most notably architect-level skills in virtualization, systems administration, scalable upgrade and migration strategies, networking, and storage. Possess the technical expertise with virtualization and network infrastructure technologies such as VMware vSphere, LAN and WAN.
• 5+ years of experience managing or maintaining enterprise IT infrastructure (Network, IaaS, PaaS, and/or Security).
• Experience in a continuous improvement environment with a track record of achieving significant continual development.
• Strong project management, problem solving, organizational, relationship, communication, and negotiation skills (oral and written) are required.
• 7+ years of experience with Windows 10/11, Windows server, DAS/NAS/SAN, Google workspace, and GCP.
• Strong knowledge of security access controls, policies, groups, rights, and permissions.
• Familiarity with IT GRC (BCDR, ITSM/ITIL, SOX, ISO, PCI, HIPAA, GMP, GDPR, FDA 21 CFR Part 11).
• Ability to document and explain complex technical solutions to management and other non-technical staff.
• Strong customer service and time management skills, with the ability to work effectively in a dynamic, and fast-paced environment.
• Flexibility to work weekends and after hours for IT projects/maintenance (on occasion).

Nice to haves:

• Bachelor's degree in MIS/CIS, Computer Science or equivalent professional experience.
• Industry certifications such as ITIL, CCNA, MCITP, MCSA, MCSE, VCP, Cloud+, Security+ preferred.
• Experience with GMP systems and IT systems change management process.
• Experience with Juniper, Meraki, Netapp, VmWare, and Google workspace.

Benefits and additional information:

The US target range of our base salary for new hires is $180,975 - $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.  

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

#LI-HYBRID