New York Other Job Listings

Research Insights Co-Op63845341229187120

Workable

Research Insights Co-Op

Are you fascinated by what makes people tick? Are you able to get people to open up and share? Do you see patterns that other people don’t? Does research data “pop” for you, making it easy to separate what’s important and get to the bottom of what people are really saying? If your answer is yes, this is a role where you can positively impact millions of patients. The Insights Co-Op assists with patient-centric research studies and workshops for medical device development. They engage directly with patient and healthcare worker study participants, bringing creativity and empathy to their work. The Co-op has frequent interactions with the cross-functional Matchstick team of engineers, clinicians, and designers. Based on the project assigned, there is the opportunity to participate in pharmaceutical client meetings. This role is designed for a 5-8 month duration. ABOUT MATCHSTICK We are a consultancy working in chronic disease, specialty pharmaceuticals, and digital health. Much of our work focuses on combination products (medicine in a delivery device) like inhalers and injectors. Our work is diverse – from user research to understand what people need their devices to do, to creatively thinking about new designs and features, to helping our clients build business cases for development projects. Our clients are pharma and medical device manufacturers of all sizes. We invent, test, refine, and commercialize better solutions to help patients and health care practitioners. Our team is intentionally small and recognized by our pharma clients as being the best at what we do. Small but mighty, we dominate the early concept phase of this work. We are engineers, clinicians, designers, and businesspeople. Each project is at the forefront of chronic disease treatment – we get given the very toughest questions, and there is no “right” answer or cookie-cutter process. We are based in Boonton, NJ in the center of town at the former Boonton Opera House. Team members are generally in-person 3 days per week and to support occasional events (workshops, client visits, etc.). RESPONSIBILITIES Help facilitate qualitative study interviews including prototype handling, session recording, and data collection. Create research materials (study stimuli, kits, surveys, screeners, etc.). Analyze and organize results to extract findings. Use qualitative techniques including task analysis, thematic analysis, and similar. Perform and interpret quantitative statistical analyses. Contribute to narrative around research results. Help present results that communicate insights and implications for our clients. Present regular updates to internal team and the client to ensure client needs are met and changes are incorporated. Participate in creative brainstorms for new medical devices, features, or functionality. Research topics of interest to us (e.g. rare disease states, new pharmaceuticals, etc. ) using academic research, blogs, and social media. Teach the team what you've learned, and extract a clear "so what". Practice core consulting skills that will enable you to frame problems effectively, write clearly, present confidently, and facilitate fast and effective team meetings. Get regular feedback and coaching around your work (the "what") as well as your style (the "how"). Requirements WHO YOU ARE We encourage you to bring your unique talents to this role. As a small team, we find enthusiasm, mindset, and experience to be more important than degrees. Based on our experience, you are a good candidate if: You are currently pursuing a Bachelor’s or Master’s degree in one of the following fields: Biochemistry/Biophysics, Biology, Biomedical Engineering, Chemical Engineering, Industrial Engineering, Biotechnology, Cognitive Science, Psychology, or Design Innovation. Minimum status of Sophomore in a Bachelor's degree program. You are naturally curious. You're a quick learner and you enjoy doing so. You are a problem solver. You are energized by complex challenges and are solutions focused. You love working directly with patients, caregivers, and clinicians. You find passion in empowering people to manage disease. You could not imagine working on anything more important. You're interested in other people and what makes them tick. You quickly understand where others are coming from. You make people feel heard, valued, and respected in every interaction. You love the details, but don't get bogged down in them. You know that 20% of the information you discover is really important, and know how to focus on and communicate what matters. You are entirely comfortable with ambiguity and not having a clear answer. You have no problem walking into an unfamiliar situation, getting your bearings quickly, and working with others to find a solution. You are honest and forthright. We work in a regulated industry and we despise passive aggressiveness and other bad corporate behavior. You are available to work full time (40 hours per week), during standard business hours. You are authorized to work in the US. We cannot sponsor any authorizations. EXPERIENCES THAT WILL PUT YOUR RESUME ON TOP These are not requirements for the role, but we’re always interested in specific skill sets and experiences that are a good fit for our work. Medical device or healthcare experience. Hands-on experience with creating study designs and design of experiments (DoE). Experience with human-subjects research in social science fields. Familiarity with usability assessments, contextual inquiry, human factors, or other formal research techniques. Familiarity with journey mapping, co-creation, and other human-centered design approaches. Demonstrated experience with secondary research and synthesis. Interest in sustainable design and manufacturing. Published writing in academic papers, school newspapers, or similar. Familiarity with quantitative data analysis tools e.g. R, python, SPSS, Prism

Boonton, NJ 07005, USA

Negotiable Salary

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

Negotiable Salary

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

Negotiable Salary

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

Negotiable Salary