associate researcher i-pathology molecular and cell based medicine

associate researcher i-pathology, molecular and cell based medicine

associate researcher ii - genetics (sebra lab)

academic researcher - fully remote | upto $110/yr

associate researcher i-pathology molecular and cell based medicine Jobs in New York

associate researcher i-pathology, molecular and cell based medicine Jobs in New York

associate researcher ii - genetics (sebra lab) Jobs in New York

clinical research assistant Jobs in New York

clinical research assistant

academic researcher - fully remote | upto $110/yr Jobs in New York

ai training research scientist est

Rensselaer Polytechnic Institute

<div>Who we are
Why Rensselaer? Join Rensselaer Polytechnic Institute's dynamic global community of changemaker including some of the world&rsquo;s leading researchers, students, alumni, and faculty who ask the important questions and devise the scientific and technological innovations that make the world a better place for all of humanity.
Nestled on a beautiful 275-acre campus in upstate NY, Rensselaer is home to five schools, 32 research centers, three makerspaces, an observatory, one of the world&rsquo;s fastest supercomputers, and IBM's Quantum System One - the first university-based quantum computer in the world.
<div>Over the past decade, the research portfolio at Rensselaer has been completely transformed. As a top-tier technological research university, Rensselaer has invested in strategic partnerships, talented researchers, and sophisticated research platforms to address the most pressing global challenges of the 21st century.
Today, the Rensselaer research enterprise comprises $104 million in annual research expenditures, supports a diverse range of research centers and platforms, and ensures the advancement of interdisciplinary research in six key areas:
<ul><li>Life Science &amp; Biotechnology (Bioscience, Bio Manufacturing, Diagnosis)</li>
<li>Future Computing (Data / AI, High Performance Computing, Quantum, Bits/Neurons/Qubits)</li>
<li>Energy, Environment, and Sustainability (Energy Solutions, Built Environment, Freshwater, Sustainability)</li>
<li>Materials &amp; Manufacturing (Mat. Discovery, Mat. Processing, Advanced Manufacturing, Robotics)</li>
<li>Microelectronics (Mat. &amp; Metrology, Hardware Co-design, Computational Microelectronics, Hetero-integration)</li>
<li>Fundamental Knowledge (AstroX, Origins, Cognitive &amp; Social, Financial)</li>
</ul>The cross-disciplinary research leverages a convergence of expertise in materials, advanced manufacturing, and control systems, emphasizing synergistic integration of these fields to derive system-level solutions to complex technological challenges. The faculty's research interests encompass a broad spectrum of areas, including but not limited to energy materials, nanomaterials, nanocomposites, nanoscale heat transfer, thermoelectrics, nanomechanics, fiber-reinforced composites, additive manufacturing, nonlinear control systems, micromachining, spaceflight dynamics and control, tribology, nonlinear dynamics, nuclear materials, biomaterials, smart and adaptive materials, as well as computational approaches in nanomechanics and biomechanics.
</div><div><div><div>The Office for Research collaborates with important external partners in the federal and state government, foundations and in industry to expand the impact our work and to support our world-class researchers as they improve lives, advance society, and change the world.
</div></div></div><div>The mission of the Office for Research is to drive and support the Research Enterprise, increase Rensselaer impact and visibility, and communicate to the national and international community that Rensselaer researchers are defining the frontiers of discovery and innovation.
</div>Rensselaer faculty and alumni include more than 145 National Academy members, six members of the National Inventors Hall of Fame, six National Medal of Technology winners, five National Medal of Science winners, # astronauts, and a Nobel Prize winner in Physics. With nearly 200 years of experience advancing scientific and technological knowledge, Rensselaer remains focused on addressing global challenges with a spirit of ingenuity and collaboration. To learn more, please visit www.rpi.edu.
Are you ready to change the world? Apply now!
Job Summary
Some of the areas that may be hiring researchers and research support positions in the area of Materials &amp; Manufacturing include:
<ul><li>Materials Discovery</li>
<li>Materials Processing</li>
<li>Advanced Manufacturing</li>
<li>Robotics</li>
</ul>Note: The availability of positions is dependent on the availability of sponsored funding. Not all areas will have all positions, and some areas may be fully staffed.
Qualifications
<ul><li>Postdoctoral Research Associate -
<ul><li>Candidates must have finished all requirements for their PhD or foreign equivalent at the beginning of their appointment</li>
</ul></li><li>Research Associate or (Sr.) Research Scientist -
<ul><li>Opportunities exist for those with a relevant advanced degree, publication record, and/or significant additional years of paid professional experience in a related position. Individuals who possess these qualifications and who have the potential to, or a demonstrated track record of being able to build collaborative external partnerships are especially desirable</li>
</ul></li><li>(Sr.) Research Specialist -
<ul><li>Positions require a relevant bachelor's degree / foreign equivalent or higher</li>
</ul></li><li>(Sr.) Research Engineer -</li>
<li>Research Assistant -
<ul><li>candidates must possess an associate's degree / foreign equivalent or relevant combination of experience, education and training</li>
</ul></li></ul>Pay transparency data:
Pay transparency disclosure: The actual salary/wage that is provided to selected candidates will be determined based on factors that include the available budget, internal equity, and the needs of the department, and the final candidate&rsquo;s qualifications, experience, education, and other job-related credentials. The following hiring ranges are provided as Rensselaer&rsquo;s good faith estimate of the expected hiring range at the time of posting.
Postdoctoral Research Associate: $62,354 - $65,000 / yr
 
Research Associate: $64,000 - $66,000 / yr
 
Research Scientist: $66,000 - $95,000 / yr
 
Sr. Research Scientist: $80,000 - $138,000 / yr
 
***
Research Specialist $18.00 - $26.44 / hr
 
Sr. Research Specialist $62,354 - 66,000 / yr
 
***
Research Engineer: $66,000 - $86,000 / yr
 
Sr. Research Engineer: $87,000 &ndash; $95,000 / yr
 
***
Research Assistant: $16.00 - $22.00 / hr
Application instructions 
Follow the on-screen prompts to create an application. Please be ready to upload any required documents, such as your resume and cover letter
If you need assistance with the online application process, please contact careers@rpi.edu
Job Posted Date
Applications will be accepted until the position is filled.
Total Compensation and Benefits Information
Rensselaer&rsquo;s Total Compensation Program is designed to provide stable pay growth, a comprehensive and affordable benefits package, and a comprehensive and affordable retiree medical and prescription plan. Rensselaer is recognized locally and nationally for the depth and breadth of its compensation and benefits program. Our goal is to provide you and your family with a comprehensive health and welfare program as an umbrella of financial security and protection during your employment. For more information, please visit Benefits | Human Resources (rpi.edu).<div> 
</div><div>Rensselaer Polytechnic Institute is committed to the cultivation of a community that is welcoming, inclusive, and above all values learning. We welcome candidates who bring a variety of perspectives to Rensselaer Polytechnic Institute's work and campus communities. Rensselaer Polytechnic Institute is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation or gender identity, national origin, disability status, protected veteran status, or other characteristic protected by law.</div> 
#LI-DNI</div>

Materials & Manufacturing Researchers

<div>Company Description 
Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We&rsquo;re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.
Sia&rsquo;s AI &amp; Data Business Unit is the powerhouse of our firm&rsquo;s innovation&mdash;merging cutting-edge Data Science, Generative AI, and advanced digital solutions to transform industries. With over 350 experts worldwide, we tackle projects from proof-of-concept to large-scale deployment, always pushing the boundaries of AI capabilities. Our 12 R&amp;D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, and deep learning, partnering closely with our business consultants for real-world impact. By joining Sia&rsquo;s AI &amp; Data team, you&rsquo;ll step into a vibrant, collaborative environment that nurtures professional growth and empowers you to shape the future of AI-driven consulting. 
Job Description 
To support its growth, Sia is recruiting a Data Scientist Consultant with a strong interest in Risk, Compliance and Regulatory topics and challenges.
Reporting to Sia's Data Science teams, your role is to support our clients' operational teams and compliance departments in defining their data needs, analyzing their data, deploying data science algorithms, and AI agents and providing strategic decision support.
These engagements require the implementation of complex analyses to support our clients, notably in:<ul><li>
Forward-Deployed Engineering</li><li>
Generative AI, Machine Learning &amp; Statistics</li><li>
Data Analysis for strategic support</li><li>
Data Engineering &amp; DevOps</li><li>
Data Transformation &amp; Acculturation</li></ul>
A few examples of engagements:<ul><li>
Predictive compliance risk monitoring: Building automated data pipelines and dashboards to track operational metrics and forecast the future health of compliance workstreams, enabling proactive risk identification and mitigation.</li><li>
AI-powered regulatory intelligence: Designing and deploying a GenAI-driven system that monitors regulatory change in real time, structures obligations, maps them automatically to internal policies and controls, scores compliance gaps, and orchestrates remediation workflows - all with a full source-of-truth audit trail for compliance, risk, and legal teams.</li><li>
Analytics/ML models for AML compliance: Built and refined ML models to automate due diligence and ID verification workflows, reducing manual review time. Managed third-party data integration and collaborated with Legal and Engineering to ensure compliant deployment.</li></ul>
As part of the firm's internal activities, your contribution will focus on the following areas:<ul><li>
Developing or strengthening our offerings through training, working groups, and internal/external materials.</li><li>
Our publication strategy (sector blogs, studies, press coverage). \</li><li>
Business development, by contributing to the definition of client needs and participating in sales activities.</li></ul>
Key Responsibilities:<ul><li>
Partner with our clients' leadership teams, engineers, program managers, and data analysts to understand data needs.</li><li>
Identify, acquire, process, and explore relevant data sources.</li><li>
Analyze large amounts of structured and unstructured information to discover trends and patterns.</li><li>
Use your data analytics and data science expertise to derive valuable insights from datasets, and build predictive models and machine learning algorithms.</li><li>
Design, build, fine-tune, and deploy LLM-based systems using models such as GPT, Claude, Gemini, Llama, and Mistral.</li><li>
Develop GenAI-powered applications (self-managed and API-based) that meet real business needs and comply with applicable regulations (GDPR, EU AI Act, model licenses).</li><li>
Design and optimize prompting strategies (few-shot, Chain/Tree-of-Thought, ReAct, self-reflection, guardrails) to improve reliability and control.</li><li>
Communicate at scale through multiple mediums: presentations, dashboards, datasets, bots, and more.</li><li>
Propose solutions and strategies to business challenges.</li><li>
Collaborate with engineering and product development teams.</li><li>
Work across a broad range of partners and projects, delivering models, algorithms, datasets, measurements, services, tools, and processes.</li></ul> 

Qualifications 
<ul><li>
Master's degree or Engineering degree (or equivalent) in Computer Science, Engineering, Data Science, or a related quantitative field.</li><li>
2+ years of experience as a Data Scientist or Data Analyst.</li><li>
Strong programming skills, particularly Python and SQL.</li><li>
Proficiency in at least one major GenAI application framework (LangChain, LlamaIndex, etc.).</li><li>
Experience with cloud platforms (AWS, Azure, or GCP).</li><li>
Knowledge of both proprietary and open-source model ecosystems (OpenAI, Anthropic, Mistral AI, Hugging Face, etc.).</li><li>
Excellent communication skills, with the ability to explain complex technical concepts simply.</li></ul>
Preferred technical experience:<ul><li>
Experience building agentic AI systems.</li><li>
Good understanding of machine learning techniques.</li><li>
Good understanding of statistical techniques and concepts.</li><li>
Experience with data visualization tools.</li><li>
Experience developing conversational AI systems / chatbots.</li><li>
Understanding of or experience with protocols and standards for connecting LLMs to external tools and databases, such as the Model Context Protocol (MCP).</li><li>
Experience deploying models at scale in production environments.</li></ul>
Preferred industry sector experiences<ul><li>
Regulatory Obligations Management: Analyze and document legal/regulatory requirements to maintain and update the client's RCM obligations library</li><li>
Control Design &amp; Implementation: Design and implement operational controls and compliance frameworks to ensure regulatory adherence</li><li>
Risk Assessment &amp; Testing: Lead RCSAs, thematic reviews, and control testing to identify compliance and operational gaps</li><li>
Regulatory Analysis &amp; Strategy: Interpret emerging regulatory trends and enforcement actions to inform compliance strategy</li><li>
Compliance Best Practices: Develop and maintain compliance best practices</li><li>
Regulatory Interpretation &amp; Controls Mapping: Interpret laws and regulations to assess applicability and map obligations to controls</li><li>
Risk &amp; Compliance Transformation: Support transformation engagements across first-line (controls design/testing) and second-line (risk, compliance) functions</li></ul> 

Additional Information 
Compensation &amp; Benefits
Sia invests in total rewards that support how our people work, live, and grow.
Compensation<ul><li>
Base Salary: $95,000-116,000. Actual compensation within this range will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by applicable law.</li><li>
Annual Performance Bonus</li></ul>
Benefits<ul><li>
Medical, dental, and vision; company-paid life and AD&amp;D; voluntary supplemental insurance and EAP</li><li>
401(k) with company match and immediate vesting; HSA and FSA options</li><li>
College savings and student loan repayment programs</li><li>
Paid parental leave; generous PTO, nine company holidays, and one floating holiday</li><li>
Cell phone stipend; well-being and professional development programs</li></ul>
Benefits are subject to applicable plan terms and eligibility requirements.
Workplace 
Sia values in-person collaboration. When serving clients, consultants may be required to work onsite at a client location based on engagement needs. Between client engagements, consultants are expected to work from a Sia office or approved coworking location at least three days per week. Candidates should reside within a reasonable commuting distance of a Sia office or approved coworking location. Sia maintains offices and coworking arrangements across multiple U.S. markets, including New York City, Charlotte, Greater Seattle, San Francisco Greater Bay Area, Los Angeles, Houston, Atlanta, Baltimore, Chicago, Washington D.C.
Work Authorization
Applicants must be legally authorized to work in the United States at the time of application and throughout their employment. This position is not eligible for employment visa sponsorship now or in the future.
Our Commitment
At Sia, we believe in fostering a diverse, equitable, and inclusive culture where our employees and partners are valued and thrive in a sense of belonging.<div></div>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</div>

Consultant – Compliance Data Science & AI

New York State Psychiatry Institute

<div>Job Title: Assistant Research Scientist
Grade: 15
Salary: $57,900-$69,341
The Research Foundation for Mental Hygiene is seeking a qualified candidate to fill a full-time Assistant Research Scientist position
in our neuroscience laboratory, in which rodent preparations are used to model mechanisms and treatment targets in mental illness.
Circuit mechanisms of normal brain functions and how experiences change them are a focus.
Duties and Responsibilities:
The work focuses on neurobehavioral systems, using molecular genetic manipulations to probe neural cellular and circuit function and, ultimately, behavior depending on demands of a given experiment, research responsibilities will include varying combinations of the following:<ul><li>
Handling of research rodents, stereotaxic surgery and monitoring during recovery, behavioral testing, in vivo fiber
</li><li>photometry and electrophysiology, anatomic circuit tracing, neurohistology, microscopy, and data analysis.</li><li>
Experience with procedures and analysis of data utilizing genetically encoded biosensors and in vivo physiology is critical.</li><li>
Experience with vivo viral-mediated gene transfer and opto and chemo genetics is preferred. Familiarity with programming in</li><li>
Matlab and Python are important.</li></ul> 
The candidate should be able to work on a flexible schedule, including some weekends and evenings.
Minimum Qualifications:<ul><li>
Bachelor's degree and (1) year of professional research experience in an appropriate field, or 30 graduate credit hours leading to an advanced degree in an appropriate field may be substituted for the required experience</li></ul>
Preferred Qualifications:<ul><li>
Applicants will be expected to also have excellent organizational skills, keep detailed records, and aid others in the laboratory with data.</li></ul> 
Work Location: 1051 Riverside Drive, New York, NY 10032
To Apply: Submit an application through our website at https://rfmh.applicantpro.com/jobs/. Please note only applications submitted through our website will be considered.
The Mission of the Research Foundation for Mental Hygiene, Inc. (RFMH) is to promote the mental health of all New Yorkers, with a focus on providing hope and supporting recovery for adults with serious mental illness and children with serious emotional disturbances. Applicants with lived mental health experience are encouraged to apply. RFMH is deeply committed to supporting underserved individuals, organizations, and communities. To this end, RFMH is focused on implementing activities and initiatives to reduce disparities in access, quality, and treatment outcomes for underserved populations. A critical component of these efforts is ensuring that RFMH is a diverse and inclusive workplace where all employees' unique attributes and skills are valued and utilized to support the mission of the Agency. RFMH is an equal opportunity/affirmative action employer.
The Research Foundation is a private not-for-profit corporation and is not an agency or instrumentality of the State of New York. Employees of the Research Foundation are not state employees, do not participate in any state retirement system, and do not receive state fringe benefits. Excellent Benefits Package. Affirmative Action/Equal Opportunity Employer - Disabled/Veteran, 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a) compliant.</div>

Assistant Research Scientist

New York University

<div>This position is based in New York and the selected candidate will be expected to work onsite as of their effective start date.
Assistant Research Scientist will:
<ul><li>Work on research on identifying how decision-making and behavioral flexibility differs across individuals, and how these arise from underlying neural processes
</li></ul><ul><li>Use machine learning and data analysis to characterize large-scale behavioral datasets from rodents trained on a decision-making task
</li></ul><ul><li>Help identify individual-specific behavioral strategies to link to the neural activity differences across those individuals
</li></ul><ul><li>Build standardized pipelines for the behavioral database and interpret the results under supervision
</li></ul><div>Approximately 10 hours per week 
</div><div></div><div>In compliance with NYC&rsquo;s Pay Transparency Act, the salary range for this position is $25/hr. New York University considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer. 
</div><div></div>We welcome applications from international candidates; however, please note that NYU is not an E-Verify employer and therefore unable to support STEM OPT extensions.</div>
 <div>Major in neuroscience or related field; h ave familiarity with data analysis and visualization in Python</div>
 <div>submit CV</div>
 <div>For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
Sustainability Statement
NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability</div>

Assistant Research Scientist Part Time Non-exempt (Savin Lab)

ConTra

<div>Who we are
Contra Labs is a human-centered research lab studying how creatives actually use AI, how tools can serve creative work better, and how to protect the originality that gets flattened as everything starts to look the same.
We connect a global network of top creative talent with frontier AI labs and product companies. By grounding our research in real creative workflows, we help define what &quot;good&quot; looks like across design, video, imagery, and beyond. Our work powers benchmarking, evaluation, and post-training for leading models and applications. Built on Contra, the professional network for independent creatives, we turn human judgment into the training and evaluation layer that helps these tools serve the people who use them.
Why this role exists
We are scaling across client engagements: post-training dataset creation, benchmarking programs, and ongoing evaluation partnerships. Each project spans a different mix of AI labs, creative-tool companies, and research teams, with different requirements, timelines, and quality bars. We need someone to own this work from end to end.
Think of yourself as the operator for a project or vertical. You sit between three groups that do not naturally talk to each other: the client who needs the data, the creative experts producing it, and the internal engineering team building the tooling. Your job is to make all three feel like they are working on the same thing, and to ship results that are both rigorous and genuinely useful.
What you'll own<ul><li>
The methodology. Annotation protocols, rubrics, and evaluation designs for creative and multimodal outputs.</li><li>
Delivery. Scope, evaluator staffing, quality routing, timelines, and the client relationship, from kickoff to final readout.</li><li>
Quality. Data quality, inter-rater reliability, and real-time course correction when something feels off. You hold the bar, and you hold the levers to fix it.</li><li>
Analysis and storytelling. Qualitative and quantitative analysis turned into clear findings, recommendations, reports, and workshops that clients act on.</li><li>
The systems behind it. You turn repeated work into clean, measurable process, and you partner with engineering on the tooling that makes that process faster and more reliable.</li><li>
The narrative. Case studies and benchmark publications that sharpen how Contra Labs is understood in the market.</li></ul>
About you<ul><li>
You design studies for a living. You can scope a question, run the study, analyze the data, and translate it into a direction people can act on.</li><li>
You understand good creative, and you can explain it. You recognize creative quality and can say why, and you can tell the difference between personal preference and something closer to ground truth. You build frameworks that capture that signal faithfully.</li><li>
You care more about people than about technology for its own sake. You understand how humans judge creative work and design systems around that.</li><li>
You turn messy work into machines. You make process clear, predictable, and measurable, and you run a tight ship across several projects at once.</li><li>
High ownership, low ego, bias to action. You ship a v1, learn, and do what it takes to deliver.</li></ul>
Experience<ul><li>
3+ years designing studies, running evaluations, analyzing data, and presenting findings.</li><li>
Experience with data labeling, annotation, human-in-the-loop systems, or AI and ML evaluation workflows.</li><li>
A track record managing several concurrent projects, including annotation, evaluation, or QA work.</li><li>
A real point of view on creative quality and what &quot;good&quot; looks like.</li></ul>
Bonus<ul><li>
A strong research background, qualitative and quantitative. A Master's or PhD in HCI, cognitive science, psychology, design research, or a related field is a plus, and so is equivalent depth from industry.</li><li>
Statistical methods for evaluation work: inter-rater reliability, sampling, regression, significance testing.</li><li>
RLHF, LLM evaluation, or benchmark design.</li><li>
Ethnography, UX research, or design-study methods.</li><li>
Startup or 0-to-1 experience.</li></ul>
Requirements<ul><li>
Based in NYC. In office 5 days a week (Williamsburg).</li></ul>
Total comp<ul><li>
Salary: $150,000 to $200,000 USD plus equity</li><li>
Medical, dental, vision</li><li>
401k matching</li><li>
Company laptop on your start date</li></ul>
Interview process<ul><li>
Recruiting team (20 minutes)</li><li>
CEO and co-founder (30 minutes)</li><li>
Technical interview, research and methods focus (45 minutes)</li><li>
VP of Product (45 minutes)</li><li>
Paid case study and presentation (60 minutes)</li></ul>
Note: Contra communicates with applicants through contra.com domains only. We never ask candidates for money. For current postings, visit Contra Careers.
Compensation Range: $150K - $200K</div>

Special Project Lead

Stott and May

<div>
 
 Senior Data Scientist
 
 
 
 Manufacturing | Azure, Databricks &amp; Microsoft Fabric
 
 
 
 
 
 
 Our manufacturing client is looking for a
 
 Senior Data Scientist
 
 to help build data-driven solutions that improve operations and support business decision-making. You'll work with cross-functional teams to develop predictive models, analyze manufacturing data, and deliver insights using a modern Microsoft technology stack.
 
 
 
 
 
 Responsibilities
 
 <ul>
 <li>
 Develop machine learning models and analytical solutions to solve business problems.
 </li>
 <li>
 Analyze manufacturing, operational, and supply chain data to identify trends and opportunities.
 </li>
 <li>
 Build predictive models for forecasting, optimization, and operational reporting.
 </li>
 <li>
 Work with business stakeholders to understand requirements and translate them into data science solutions.
 </li>
 <li>
 Collaborate with Data Engineers to prepare and transform data for modeling.
 </li>
 <li>
 Present findings and recommendations to technical and non-technical audiences.
 </li>
 <li>
 Support the deployment and ongoing improvement of machine learning models.
 </li>
 </ul>
 
 
 
 
 Required Skills
 
 <ul>
 <li>
 5+ years of experience as a Data Scientist.
 </li>
 <li>
 Strong Python and SQL skills.
 </li>
 <li>
 Experience building and deploying machine learning models.
 </li>
 <li>
 Hands-on experience with
 
 Azure Databricks
 
 .
 </li>
 <li>
 Experience with
 
 Microsoft Fabric
 
 or other Microsoft analytics tools.
 </li>
 <li>
 Experience working with Azure cloud services.
 </li>
 <li>
 Strong understanding of statistics, predictive modeling, and data analysis.
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 </ul>
 
 
 
 
 
 Fully Remote
 
 
 
 
 12-month contract with possible extension
 
 
 
 
 40hr/week
 
 
 
 
 95-125/hourly W2 or LLC
 
 
 
 (There are
 
 no
 
 C2C options for this role)
 
 
 
 
</div>

Senior Data Scientist

PineCone

<div><h2 class="jobSectionHeader">About Pinecone:</h2>
Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone&rsquo;s mission is to make AI knowledgeable. More than 109,000 customers across various industries have shipped AI applications faster and more confidently with Pinecone&rsquo;s developer-friendly technology. Pinecone is based in New York and has raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital.<h2 class="jobSectionHeader">
About the Role/Team:</h2>
As a Technical PMM, you will help developers, software engineers, and machine learning scientists understand how Pinecone enables knowledgeable AI applications. You will accomplish this through messaging and positioning, GTM strategy, launch planning, and enablement for key product features. You will work closely with Product, Sales, Developer Relations, and Marketing teams to ensure our customers understand the value of our platform.<h2 class="jobSectionHeader">
Responsibilities:</h2><ul><li>
Product Launches &amp; GTM Strategy:<ul><li>
Develop launch plans for product releases, align with product teams, and manage GTM execution.</li><li>
Lead core launch teams with cross-functional members (documentation , communications, developer relations, product, growth marketing, etc).</li><li>
Measure customer impact and adoption post-launch, iterating on strategies as needed.</li></ul></li><li>
Positioning &amp; Messaging:<ul><li>
Craft compelling, technically accurate messaging for AI-powered search and retrieval solutions.</li><li>
Build product narratives for enterprise and developer audiences that differentiate Pinecone from competitors.</li><li>
Develop and maintain positioning for new product capabilities</li></ul></li><li>
Customer &amp; Market Insights:<ul><li>
Partner with customers to develop case studies, gathering business impact metrics and architectural insights.</li><li>
Engage in customer interviews and research to refine messaging and identify key value drivers.</li></ul></li><li>
Content Development &amp; Enablement:<ul><li>
Develop internal and external enablement materials, including sales training, pitch decks, and GTM enablement sessions.</li><li>
Collaborate with marketing to create social posts, blogs, and technical content.</li></ul></li></ul><h2 class="jobSectionHeader">
Requirements:</h2><ul><li>
5+ years of experience in product marketing, ideally at a developer-focused or AI/ML infrastructure company.</li><li>
Strong technical acumen with hands-on experience in AI, ML, vector search, cloud computing, or databases.</li><li>
Proven track record in launching technical products and driving adoption in enterprise and developer communities.</li><li>
Ability to translate complex technical concepts into clear, compelling messaging for different audiences.</li><li>
AI-native workflow from content creation to automating away process</li><li>
Experience working cross-functionally with Product, Engineering, Developer Relations, and Sales teams.</li><li>
Excellent written and verbal communication skills.</li></ul><h2 class="jobSectionHeader">
Bonus points:</h2><ul><li>
Experience in developer marketing or working directly with AI/ML practitioners.</li><li>
Familiarity with vector databases, retrieval-augmented generation (RAG), or search technologies.</li><li>
Knowledge of cloud infrastructure and AI model deployment.</li></ul><h2 class="jobSectionHeader">
Perks &amp; Benefits:</h2><ul><li>
Comprehensive health coverage including medical, dental, vision, and mental health resources</li><li>
401(k) Plan</li><li>
Equity award</li><li>
Flexible time off</li><li>
Paid parental leave</li><li>
Annual Company Retreat</li><li>
WFH Equipment Stipend</li></ul>
All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws. 
Compensation Range: $126K - $145K</div>

Technical Product Marketing Manager

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