New York Science & Technology Job Listings

ENTRY LEVEL LABORATORY TECHNICIAN (Queens)65150555500547120

Craigslist

ENTRY LEVEL LABORATORY TECHNICIAN (Queens)

Summary: Environmental laboratory seeks entry-level technicians with basic lab experience and light microscopy knowledge; training will be provided. Highlights: 1. Training will be provided and paid for 2. Basic experience of working in a laboratory is a plus 3. Basic knowledge of light microscopy is a plus Environmental laboratory in Queens is looking for entry level laboratory technicians. Basic experience of working in a laboratory is a plus. Basic knowledge of light microscopy is another plus. Training will be provided and paid for. Candidates should be willing to work either Saturday or Sunday.

44-37 43rd St, Sunnyside, NY 11104, USA

$18-25/hour

Workable

Chemist II

Who We Are iLABS is an innovation-focused, full service, global beauty company with proven track record for award winning formulas and product development. The art and science of innovation is in our DNA. Through our worldwide network of talented chemists, scientists and creatives, we bring authentic innovation and cutting-edge technology to every product we design. The Way We Work Whether you’re an established brand or an indie start-up, our team of beauty industry professionals nurture your project through each phase of development, from concept to finished goods. We take the time to understand your goals through access to cutting-edge technologies, raw materials, sustainable materials and the latest marketing analysis. Our dedicated team guides your vision, ensuring your product takes center stage in a crowded market. Job Summary We are seeking a Chemist II to join our R&D team, focused on creating personal care, skincare, hair care, and color cosmetics. They would develop and test new products, solve technical issues, and ensure they meet industry standards. They will lead and mentor junior chemists, help scale products for manufacturing, manage lab documentation, and support project management. Additionally, they will contribute to improving lab processes and managing raw material data. Responsibilities Formulate personal care, skin care, hair care and/or color products Perform necessary research, test products and troubleshoot Supervise and mentor junior level chemists Adhere to a cGMP environment, document and follow lab procedures with attention to detail Attend cosmetic seminars and meetings Attend relevant internal meetings and provide reports Attend scale-up and manufacturing Assist R&D leaders with various tasks, including the following: Project management support Customer calls support Lab procedure and specifications Raw material data management Efficiency improvement task force Requirements 6+ years of previous makeup, OTC and/or skincare formulation experience Bachelor’s degree in Chemistry, Biochemistry, Chemical Engineering or related field Master’s degree in Cosmetic Science or related field, preferred Ability to supervise and mentor chemists Extensive knowledge of formulation science Strong time and project management skills Knowledge of rules and regulations (FDA, CTFA, PCPC) for formulation Knowledge of current Good Manufacturing Practices (cGMP) Knowledge of and ability to assist in scale-up and manufacturing process Strong problem-solving skills Strong communication skills, both written and verbal Strong computer skills Benefits Comprehensive Health Benefits package (Medical, Dental, Vision, Life, AD&D) Competitive 401(k) match with immediate vesting Paid time off (Vacation, Sick, Holiday, Summer Fridays) Monthly birthday celebrations + other fun activities! Daily subsidized meals iLABS (Innovation Labs) Inc. is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other characteristic protected by federal, state or local laws. All employment is decided on the basis of qualifications, merit, and business need.

Mahwah, NJ 07430, USA

2025-2026 AI/ML Research Fellow63849417983233122

Workable

2025-2026 AI/ML Research Fellow

Full details are available at: https://www.imachines.com/imi-ai-ml-fellowships-2025-2026-high-risk-research 12 places will be opened for the 2025-2026 term, with a duration of 6 or 12 months at the applicant's option. The intent of the fellowship is to focus on high risk research: ambitious projects that may not produce results, but will have lasting impact if they work. We believe that publication in AI/ML has become overly biased towards short-term and iterative results, despite major gaps in our understanding of how to build optimal models. The goal of these fellowships is to give awardees uninterrupted time to focus on harder open problems, with adequate compute, talented peers, and weekly 1:1 mentorship from senior researchers but without chasing specific metrics. You will be expected to spend about 80% of your time on your own research, and up to 20% of your time either assisting other fellows or participating in wider research programs at IMI. We focus largely on applied research and its applications to online security problems, but often publish and support frontier research aligned with our broader interests. Serving hundreds of millions of people gives us a unique perspective as to what works at scale. Eligibility: prior fellows and research staff have come from disparate backgrounds, including early career researchers previously at MSR, FAIR, Mila, MPI, etc. and self taught mid career engineers transitioning into research. We do not discriminate on the basis of pedigree or age. If you have done interesting work, that is enough. You may reside anywhere in the world, excluding sanctioned jurisdictions. This will be a remote fellowship. Deliverables: we do not have hard targets, but generally try to get 1-2 papers with code done in a year, targeting NeurIPS, ICML, ICLR, etc. At the end of your fellowship, if the threshold for publication at a conference or in a journal is unmet we will expect a final report, which may be published as a blog post. Applying: send a brief bio / CV link via this page. Include 1) the topic you are interested in working on, 2) a few lines on any relevant prior work you've done, 3) your github / scholar / x links, 4) your desired start date, duration, and other obligations (if any) during that period, and 5) a brief analysis of one of the projects outlined below. Each project intentionally includes some gaps or glosses. List the ones you see, and how you'd solve them. Alternatively, if you dislike the projects outlined under a particular topic, write up your own idea and why it is more promising, along with your estimate of time and compute required. Deadline: Admitting fellows in two cohorts. Deadlines for consideration: Oct 1 25, Feb 1 26. 3 week decision period. Rolling thereafter. Compensation: competitive location-adjusted stipend, conference and travel support for conferences with accepted papers. Selection criteria: novelty and importance, clarity of approach, feasibility given time/compute, alignment with topics. Panel review and one interview. Selection will be based solely on merit. IMI is an equal opportunity employer, and does not discriminate on the basis of age, disability, sex, orientation, race, religion or belief. We promote equality of opportunity for all, and welcome applications from anyone with talent, skills and potential.

New York, NY, USA

Scientific Data Architect - New York63846055425411123

Workable

Scientific Data Architect - New York

Who We Are TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom: In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. Who You Are You are a product-minded, outcome-obsessed driver of technical scientific solutions. You a high velocity self-starter. You refuse to let uncertainty obstruct your path to designing and building solutions. You roll up your sleeves, try things out, and get things done. You do not hesitate to prototype, demo, and build in order to accelerate delivery of products for your end users. You thrive in environments where you can collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes. Your ability to engage with scientists and business leaders alike makes you a key player in maximizing the value of scientific data. With rich experience applying cutting edge data methodologies to the biopharma R&D domain, you bridge understanding between present-day pain points and generalizable solutions. You are an insatiable learner, with a track record of deeply learning new tools, methods, and domains. You fundamentally embody the principles of extreme ownership and have a demonstrated history of building extensible data models and applications for Biopharma end users to maximize value from their data via analysis and integration with AI/ML. This role will require extreme self-discipline and determination as we forge a category that will fundamentally and forever change the life science industry. What You Have Done PhD with 7+ years / Masters with 10+ years of industry experience in life sciences with extensive domain knowledge in drug discovery (target ID through lead optimization), preclinical development, CMC (all drug modalities), or product quality testing. Proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments Collaborated with cross-functional teams, including product managers, software engineers, and scientific stakeholders. Performed extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible. Engaged diverse audiences, from scientists to executive stakeholders using your excellent communication and storytelling abilities. Advised scientists in a consulting capacity to further research, development, and quality testing outcomes. Requirements What You Will Do You will be a critical team member in a unique partnership to industrialize Scientific AI. As such, you will engage directly with customers onsite a few times a week in the New York Region, building strong relationships, deeply understanding their scientific data challenges and requirements, and accelerating solutions. Design and implement extensible, reusable data models that efficiently capture and organize scientific data for scientific use cases, ensuring scalability and future adaptability. Translate scientific data workflows into robust solutions leveraging the Tetra Data Platform. Own, scope, prototype, and implement solutions including: Data model design (tabular & JSON) Python-based parser development. Lab software (e.g., ELN/LIMS) integration via APIs. Data visualization and app development in Python (using app frameworks like Streamlit and plotting tools like holoviews and Plotly) Collaborate with Scientific Business Analysts (SBAs), customer scientists and applied AI engineers to develop and deploy models (ML, AI, mechanistic, statistical, hybrid) Programmatically interrogating proprietary instrument output files. Dynamically iterate with scientific end users and technical stakeholders to rapidly drive solution development and adoption through regular demos and meetings Proactively communicate implementation progress and deliver demos to customer stakeholders. Collaborate with the product team to build and prioritize our roadmap by understanding customers’ pain points within and outside Tetra Data Platform. Rapidly learn new technologies (e.g., new AWS services or scientific analysis applications) to develop and troubleshoot use cases Benefits 100% employer-paid benefits for all eligible employees and immediate family members Unlimited paid time off (PTO) 401K Company paid Life Insurance, LTD/STD Remote Work, when not visiting customers onsite We are not currently providing visa sponsorship for this position.

New York, NY, USA

Data Scientist, Research63392083814785124

Workable

Data Scientist, Research

Dstillery is the leading AI ad targeting company. We empower brands and agencies to target their best prospects for high-performing programmatic advertising campaigns. Backed by our award-winning Data Science, Dstillery has earned 24 patents (and counting) for the AI technology that powers our precise, scalable audiences. Our newest technology, ID-free®, is patented, privacy-safe behavioral targeting that reaches 100% of ad impressions and can be used with any Dstillery product. Our premier user segment product, Custom AI Audiences, is a just-for-your-brand targeting solution that refreshes hundreds of millions of users every 24 hours to deliver the best performance. About the team: Data Science is at the core of our offerings at Dstillery, and as a result all members of our Data Science team have the opportunity to make an impact on our company and the industry. The Data Science Research team leads the creation and development of new products to meet the ever changing needs of the digital advertising industry. We focus on building high performing products for our clients with integrity and transparency, and we have a commitment to the development of privacy friendly solutions. As a Data Scientist on the Data Science Research team you will play a critical role in bringing new products to market. Role: Prototype innovative ideas, conduct experiments, and iterate quickly to develop data-driven solutions for complex business challenges Independently work on end-to-end research projects while actively collaborating with a team of data scientists Present and promote results to internal stakeholders and external clients and partners. Support and improve existing data science products Analyze large, complex, and noisy datasets to extract actionable insights and support data-driven decision-making Design, implement and evaluate machine learning and statistical methods to perform exploratory data analysis, data storytelling and product development Design and execute A/B tests and experiments to optimize product performance and maximize revenue growth Pursue patents where applicable Contribute to thought leadership in the community with presentations and publications Qualifications: Ph.D. in a quantitative field (e.g. machine learning, statistics, physical science, or quantitative social science) -- or -- M.S. in computer science or statistics plus two years of professional experience. Experience using real data to solve real problems. Expertise in statistical modeling, machine learning, and fluency in the related technical tools. Interest in applying machine learning to large datasets to solve business problems. Knowledge of current large language model and generative AI tools and an interest in applying them to data products Excellent oral and written communication skills; comfort in a client-facing role. A track record in contributing to publications, presentations, external collaborations and service to the research community is a plus. Intermediate programming skills, we don't expect you to already be an expert in all the various technologies we use, but you should be ready to learn and work with Python, Google Cloud Platform, Scikit-learn, TensorFlow, PyTorch, Spark, BigQuery and SQL

New York, NY, USA