PLM Analyst – Asbestos Analysis (San Diego)

Job Title: Laboratory Technician for Agricultural Soils Location: Santa Paula Job Type: Full-Time Salary: $16.50 - $17.50 per hour Job Description: We are seeking a motivated and detail-oriented Agricultural Soils Laboratory Technician to join our team for an entry-level position . In this hands-on role, you will support soil testing and analysis to ensure accurate and reliable results for agricultural applications. This position offers a great opportunity for individuals with an interest in agricultural science and laboratory work. Key Responsibilities: Sample Preparation: Prepare and process soil samples for laboratory analysis, ensuring all samples are properly labeled and documented. Chemist Support: Assist chemists and laboratory staff with the preparation of various soil analyses. Additional Tasks: Assist with other laboratory-related duties and tasks as assigned, which may include data entry and general lab clean-up. Physical Requirements: Ability to lift up to 50lbs as part of daily responsibilities. Qualifications: High school diploma or equivalent. Background in agriculture, chemistry, or a related field is preferred but not required. Strong attention to detail and ability to follow established procedures. Excellent organizational and time-management skills. Ability to work independently and as part of a team in a fast-paced environment. Benefits: Competitive hourly wage: $16.50 – $17.50 Full-time position with health, dental, vision, and 401K.

Lithos Carbon is an innovative early-stage carbon removal company and a leader in enhanced rock weathering technology. We develop cutting-edge solutions to combat climate change while improving soil health for agriculture. Based in Silicon Valley, our global center for technology and innovation offers an exciting opportunity to join a mission-driven team advancing sustainable carbon dioxide removal (CDR). Internship Overview: As an Environmental Geochemistry Intern on the Research Partnerships team, you will gain hands-on experience combining laboratory soil sample preparation, wet benchtop experiments, and quantitative data analysis. This role is ideal for undergraduates or recent graduates with a background in environmental geochemistry, geology, soil science, or environmental science who also have data analysis skills. You will work closely with the research team to prepare and analyze soil samples, maintain detailed lab notes, and contribute to interpreting large-scale ERW datasets. This internship offers exposure to a fast-paced, high-pivot environment requiring adaptability and proactiveness. Key Responsibilities: Prepare and process soil samples, including potentially labor-intensive physical preparation and wet-benchtop experimentation. Conduct soil experiments under supervision, maintaining accurate and detailed lab documentation. Organize, analyze, and visualize experimental data; support programming and data analysis efforts using Python. Assist with data management and help calculate carbon dioxide removal metrics from Lithos’ large-scale ERW datasets. Collaborate with team members to ensure sample tracking and laboratory organization. Requirements Qualifications: Currently enrolled in or recently graduated from an undergraduate program in environmental geochemistry, geology, soil science, environmental science, or related field. Demonstrated skills in data analysis, with experience in Python strongly preferred. Comfortable performing laborious sample preparation and wet lab work. Strong attention to detail and commitment to rigorous lab documentation. Interest in environmental sustainability, carbon removal science, and advanced analytical techniques. Ability to work independently and collaboratively in a fast-paced, dynamic research environment. Preferred Traits: Motivated, organized, and eager to learn both laboratory and computational methods. Curious about applying advanced analytical tools to environmental research. Strong communication skills and proactive engagement with complex datasets. If you are excited to contribute to cutting-edge carbon removal research as part of Lithos Carbon’s Research Partnerships team, please submit your resumé and a brief cover letter explaining your interest and relevant skills. Join us to be part of a team working toward a more sustainable future.

PARTICIPANTS NEEDED FOR A RESEARCH STUDY AT INDIANA UNIVERSITY SCHOOL OF MEDICINE (Psychiatry Department) We are conducting a 12-week clinical trial to see if the medication Guanfacine XR (an FDA approved drug used to treat ADHD) vs. a placebo (sugar pill) can help reduce alcohol craving and drinking. A potential subject: • Is 18 years or older • Struggles with alcohol use • Is Male or Female Click the link to complete the eligibility survey: https://redcap.link/axzyv6om Or call one of our Research Assistants @ 317-274-0851 or 317-274-0837 If Eligible, your participation will include: • Stop by for an in person visit to complete a physical & answer some questionnaires • Be randomly assigned to either guanfacine or placebo • Completing daily tasks (short surveys, urine screening, and medication intake) remotely • Attending 2 brief remote visits each week for 12 weeks In appreciation of your time you can receive up to $1,300 (based on participation) Principle Investigator: Helen Fox Ph.D. IRB #24432

At Oura, our mission is to empower every person to own their inner potential. With our award-winning Oura Ring and app, we help over 2.5 million people turn insights about sleep, activity, and readiness into healthier, more balanced lives. We believe that starts from within — by creating a culture where our team feels supported, included, and inspired to do their best work. Our values guide how we show up for each other and our community every day. We are looking for a Staff Machine Learning Data Scientist to join our Science team. This high-impact role will focus on building robust, scalable, and accurate physiological machine learning models from large-scale wearable and health datasets. You’ll work closely with cross-functional partners across product, software engineering, and testing teams to develop the next generation of Oura's health insights. This is a remote US role with a slight preference for candidates based on the East Coast.  We have offices in San Francisco and San Diego for those who prefer hybrid or office settings. Oura employees in other major cities (like Boston and New York) occasionally gather informally at local co-working locations. What you will do:  Design and develop scalable data generation pipelines that prioritize robustness, reproducibility, and quality across diverse physiological signals. Research, prototype, and implement novel ML architectures for large-scale time-series modeling of health and physiological data. Build scalable training pipelines to support high-throughput model development and iteration. Design comprehensive evaluation strategies for model performance and clinical validity. Collaborate cross-functionally with engineering, product, and validation teams to bring scientific models to production. Plan and support long-term roadmap and mentor junior team members on best practices in modeling and deployment. Requirements We would love to have you on our team if you have: Have a PhD in machine learning, artificial intelligence, biomedical engineering, or a closely related field. Bring 5+ years of relevant industry experience (post-PhD) working with applied ML in a product setting. Have hands-on experience developing and deploying large time-series models, especially those built on sequential physiological or wearable data. Demonstrate strong programming skills in Python and experience with cloud-based ML (e.g., AWS, Github, Pytorch, Docker). Possess a deep understanding of scalable ML workflows, including data pipelines, evaluation frameworks, and deployment to production. Self-starter and vision-driven with strong collaboration and communication skills and thrive in cross-functional settings. (Bonus) Have a background in physiology, health sensing, or digital biomarkers. (Bonus) Have experience shipping ML models in production environments and conducting real-world validation. Benefits At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health. What we offer: Competitive salary and equity packages Health, dental, vision insurance, and mental health resources An Oura Ring of your own plus employee discounts for friends & family 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off Paid sick leave and parental leave Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. Region 1 $182,000 - $228,000 Region 2 $169,000 - $211,000 Region 3 $159,000 - $199,000 A recruiter can determine your zones/tiers based on your US location. We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), Vermont (VT), West Virginia (WV), and Wisconsin (WI) Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: Our jobs are listed only on the ŌURA Careers page and trusted job boards. We will never ask for personal information like ID or payment for equipment upfront. Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.

Food Scientist – Gummy Formulation We are developing a gummy to support women’s health and need a food scientist who can move fast and deliver results. What you will do: • Formulate and refine the gummy recipe for flavor, texture, and stability • Select and test ingredients including gelatin, pectin, sweeteners, acids, and botanicals • Optimize texture and mouthfeel with your knowledge of gelling agents and sweeteners • Ensure compliance, safety, shelf life, and nutritional claims What we are looking for: • Experience in food formulation, especially functional or dietary gummies • Strong background in food chemistry and biology • Ability to work quickly and creatively in a lab setting • Understanding of regulatory and food safety standards Why join us: Be the lead formulator on a high demand women’s health product and help take it from concept to launch. Contract or project based, remote or lab based, immediate start.

Boston, MA, US | Full-time | Permanent | Hybrid   Salary: $158k - $200k | DOE  + bonus plan + equity   The salary range for this role is broad, as we are able to consider varying levels of experience.  Any offer made will carefully take into account level of experience (including relevant industry experience), transferable relevant skills and previous relevant achievements.    About us   Riverlane’s mission is to make quantum computing useful, sooner. From advances in material science to complex chemistry simulation for drug design and discovery, quantum computers will help solve some of the world’s most important challenges. Riverlane is building the quantum error correction stack, Deltaflow, to make this happen. It’s a complex problem that requires a range of skills, talent and passion.   We recently raised $75M in Series C funding to accelerate our cutting-edge R&D in quantum error correction (QEC), and are partnering with many of the world’s leading quantum hardware providers and government agencies to make fault-tolerant quantum computing a reality. We’re making remarkable progress and growing fast.      About the role   This is a unique opportunity to play a critical role in driving Riverlane’s qLDPC research in the US. Currently, our team focuses on qLDPC decoder research, and we are expanding into novel qLDPC codes and approaches to logical operations. As qLDPC Lead, you will help shape and guide this expansion - whether through leadership in code development, advancing decoder research, innovating in logical operations, or a combination of these areas. The scope of this role is flexible to match your expertise, while offering the opportunity to influence the full scope of our qLDPC research.  Working closely with other quantum science leads at Riverlane, you will identify skills gaps, guide hiring to build a world-class team, and ensure our research aligns with Riverlane’s mission to deliver our Quantum Error Correction Stack.  You will collaborate extensively with our internal teams and world-leading partners, ensuring your contributions have a direct impact on the path to fault-tolerant quantum computing.    What you will do   As qLDPC Lead at Riverlane, your work will vary, depending on your specialism, and will include:  Setting the technical direction for qLDPC research (covering any combination of code design, decoder development, and/or logical operations), in line with Riverlane’s QEC roadmap and strategic research plan  Performing original research in your area(s) of focus e.g. developing new qLDPC codes, designing and optimising decoders, or pioneering logical operation schemes  Collaborating with teams across the QEC stack to integrate your work into Riverlane’s end-to-end solutions  Publishing high-impact papers and presenting at top international conferences  Driving innovations that lead to patents and strengthen Riverlane’s technology portfolio  Building strong relationships with external collaborators and partners  Acting as a scientific mentor and reviewer for colleagues’ work  Requirements What we need   PhD in Mathematics, Physics, Computer Science, or a related technical field (or equivalent professional experience)   Strong written and oral communication skills, with the ability to discuss complex ideas with a variety of audiences in a clear, and simple way   Substantial relevant industry or postdoctoral experience in quantum computing   Deep expertise in high-rate qLDPC codes and/or decoders, evidenced by a strong research track record in this area   Experience of leading scientific projects, involving multiple people   Proven ability to undertake high-quality work, reflected by its impact on the broader community      Even better if you have   Extensive technical experience and leadership in quantum error correction   Substantial experience as a line manager or team lead   Substantial experience as a hiring manager   Knowledge of Python and/or C++   Familiarity with hardware, such as FPGAs or ASICs   A track record of winning contracts or grants   Experience leading successful contract or grant proposals as a co-PI   Experience with professional software development practices   Benefits What you can expect from us    A comprehensive benefits package that includes an annual bonus scheme, private health insurance, life insurance and a contributory retirement fund   Equity, so that our team can share in the long-term success of Riverlane    Generous annual leave, and enhanced family leave    A diverse work environment that brings together experts in many fields (including software and hardware development, quantum information theory, physics and maths) and over 20 different nationalities     A learning environment that encourages individual, team and company growth and learning, including training and conference budgets       How to apply   Please upload a CV and covering letter by clicking 'Apply Now'. Your covering letter should explain why you are applying for the job and what skills and experience you can bring to the role.      We review CVs as we receive them and interview as soon as we have applications that look like a good match (usually within one week). We do not use closing dates. So, please apply as soon as possible to avoid missing out on this role.       If you have any queries, please contact jobs@riverlane.com.      Everyone is welcome at Riverlane. We are an equal opportunities employer and encourage applications from eligible and suitably qualified candidates regardless of age, disability, ethnicity, gender, gender reassignment, religion or belief, sexual orientation, marital or civil partnership status, or pregnancy and maternity/paternity.    Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements.  If this applies to you, we still encourage you to apply - you may be a great fit, even if you don’t meet every single qualification. We’d love to hear from you.  If you need any adjustments made to the application or selection process so you can do your best, please let us know. We will be happy to help.