data scientist ii, adsp product operations & analytics

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data scientist ii, adsp product operations & analytics Jobs in New York

applied scientist

Uber

<div><b>Employer: </b>Uber Technologies, Inc.
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<b>Job Title: </b>Applied Scientist
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<b>Job Location: </b>New York, New York
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<b>Job Type: </b>Full Time
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<b>Rate of Pay: </b>$155,000 to $186,000 per year
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You will be eligible to participate in Uber's bonus program, and may be offered other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits .
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<b>Duties: </b>Identify relationships and trends in data and build key algorithms behind real-time pricing, driver movement, and driver preferences products. Maximize marketplace efficiency through influencing supply and demand in real time which involves developing fundamental understandings of Uber's driver behavior. Create pricing algorithms that incorporate both marketplace dynamics and supply preferences. Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data. Match the best supply to the most needed demand in an effective manner. Design and analyze experiments that provide insights to improve marketplace efficiency. Problem solve on high impact open questions and prototype cutting edge mechanisms to production and engage in large scale experimentation. Own and drive a large part of the driver movement and pricing data science roadmap in order to take Uber's products to the next level. Analyze and interpret statistical data to identify significant differences in relationships among sources of information. Work closely with various cross-functional teams (marketing managers, engineers, product managers, operations, data scientists, and analysts) to help optimize Uber's marketing practices. Successfully apply rigorous scientific methods with proficiency in data science knowledge and technical capabilities. May telecommute.
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Employer will accept a Ph.D. degree in Statistics, Operations Research, Mathematics, or related field.
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Position requires:<br>
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<ul><li>Advertising tech (market response modeling, forecasting, attribution, targeting, and third-party data integration);
</li><li>Big data (Hadoop, Hive, or Spark);
</li><li>Python;
</li><li>Working with massive data sets using SQL;
</li><li>Machine learning and causal inference techniques; and
</li><li>Connecting technical insights to strategic decisions.</li></ul></div>

Applied Scientist

<div><b>About the Role
</b><br>
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Scientists at Uber use data to improve and automate all aspects of Uber's core rideshare and delivery products. You will be joining the Delivery team, which owns all aspects of our delivery experience - from eaters, couriers to merchants!
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We are looking for experienced candidates with a passion for solving new and difficult problems with data. In this role, you will be able to utilize your strong quantitative skills to improve the Uber delivery experience as well as the overall marketplace performance.
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<b>About the Team (We are hiring for multiple teams)
</b><br>
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We are building the most preferred online delivery platform globally and driving innovation across a number of areas including:
<ul><li><b>Fulfillment: </b>Delivery is the core of our product. We carefully refine a living and breathing marketplace to balance long run outcomes with the everyday experiences of our customers and couriers.
</li><li><b>Consumer: </b>We help users all over the world find what they need on UberEats. To do so we build state of the art recommendation systems and novel user experiences to help users discover the selection around them.
</li><li><b>Ads: </b>Ads is one of the fastest growing lines of businesses at Uber. We work on end-to-end experience across lines of business, from enrolling advertisers, to designing auction and bidding, and integrating ads into the user experience.
</li><li><b>Offer: </b>We optimize merchant offers, by identifying the optimal selection to make the platform affordable to consumers, by innovating on pricing models to align incentives, and by maximizing return for merchants through targeting.
</li><li><b>Merchant: </b>Dedicated to optimizing merchant experience and driving merchant success at every stage of their lifecycle. We drive strategic and product decisions that expand merchant selections and maximize the value merchants bring to our marketplace.
</li></ul><b>What You'll Do
</b><ul><li>Solve ambiguous, challenging business problems using data-driven approaches, including ML, Optimization, and Causal Inference.
</li><li>Develop and implement statistical/econometric methodologies to improve results validity, power and generalizability.
</li><li>Develop data-driven business insights and work with cross-functional customers to find opportunities and recommend prioritization of product, growth, and optimization initiatives.
</li><li>Design and analyze experiments, present results that provide actionable recommendations.
</li><li>Orient the teams around data-driven product development by driving the creation of logging, metrics, data visualization and diagnostic tools, and experimentation paradigms.
</li><li>Define how our teams measure success, by developing metrics, in close partnership with cross-functional partners.
</li><li>Owning the product development cycle end-to-end from data and science aspects.
</li></ul><b>Basic Qualifications
</b><ul><li>Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields.
</li><li>Minimum 4 years of industry experience as an Applied or Data Scientist or equivalent (2+ years if holding a Ph.D.)
</li><li>Experience in experimental design and analysis, exploratory data analysis and statistical analysis.
</li><li>Ability to use Python/R to work efficiently at scale with large data sets.
</li></ul><b>Preferred Qualifications
</b><ul><li>Experience managing projects across large, ambiguous scopes and driving initiatives in a fast moving, cross-functional environment.
</li><li>Expertise in synthesizing complex technical analyses into clear insights to influence product direction.
</li><li>Excellent communication skills across technical, non-technical, and executive audiences.
</li>Experience within a Delivery or Ecommerce business.<br>
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</li></ul><br>
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For New York, NY-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Senior Scientist, Delivery (Multiple Teams)

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
In this role, you will build scalable solutions and sophisticated models that identify and drive growth opportunities for Amazon Ads teams, specifically within Amazon's Demand Side Platform (ADSP). You will leverage machine learning, simulation, and advanced statistical techniques to explain complex patterns, quantify business impact, predict future trends, and prescribe actionable strategies that inform critical business decisions at the highest levels of the organization. You will work with various stakeholders to align on priorities, with the understanding that scope and direction may evolve based on organizational needs. You will translate business goals into agile, insightful analytics that create tangible value for both stakeholders and customers, and communicate your findings clearly and actionably to managers and senior leaders so they can quickly understand insights and take decisive action.<br>
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You will set the strategy for ads delivery and quality and establish the measurement and decision frameworks. A core mandate for this role is to identify, instrument, and operationalize the input metrics that most directly drive ads delivery, quality, and performance, ensuring we optimize the levers that move outcomes rather than simply reporting on lagging KPIs.<br>
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Key job responsibilities<br>
<ul><li>You will define and execute in-depth data analysis that drives data-informed decision making for product, sales, and finance teams who speak on behalf of advertisers.</li></ul><br>
<ul><li>You will establish and drive data hygiene best practices to ensure coherence and integrity of data feeding into production ML/AI solutions.</li></ul><br>
<ul><li>You will identify, instrument, and operationalize the input metrics that most directly drive ads delivery, quality, and performance, creating robust measurement frameworks.</li></ul><br>
<ul><li>You will collaborate with colleagues across science and engineering disciplines for fast turnaround proof-of-concept prototyping at scale.</li></ul><br>
<ul><li>You will partner with product managers and stakeholders to define forward-looking product visions and prospective business use cases.</li></ul><br>
<ul><li>You will set the strategy for ads delivery and quality, establishing decision frameworks that enable teams to move from reactive reporting to proactive optimization.</li></ul><br>
<ul><li>You will drive and lead a culture of data-driven innovations within the Amazon AdTech org.</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>2+ years of data scientist experience</li><li>Bachelor's degree</li><li>Experience applying theoretical models in an applied environment</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in Python, Perl, or another scripting language</li><li>Experience in a ML or data scientist role with a large technology company</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, NY, New York - 153,400.00 - 207,500.00 USD annually<br>
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually</div><p></p>

Data Scientist II, ADSP Product Operations & Analytics

MedReview Inc.

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       MedReview is looking for a talented and experienced
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        Data Scientist
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       to join our dynamic team. As a part of our team, you will leverage your analytical skills and expertise in machine learning to extract insights from complex datasets and drive data-driven decision-making across our organization. You will collaborate closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve challenging business problems. As part of a global team of developers and analysts, the Data Scientist will work with a larger team to design, build, validate, refine, and operationalize models.
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          Problem Identification:
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         &nbsp;Collaborate with stakeholders to identify business challenges that can be solved through data analysis.
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          Data Collection &amp; Preparation:
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         &nbsp;Gather data from various sources (SQL databases, APIs, web scraping), then clean and "wrangle" it to ensure accuracy for modeling.
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          Model Development:
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         &nbsp;Design and implement algorithms and predictive models using machine learning techniques to forecast outcomes or categorize information.
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          Exploratory Data Analysis (EDA):
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         &nbsp;Analyze datasets to uncover hidden patterns, trends, and anomalies.
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          Communication &amp; Visualization:
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         &nbsp;Translate technical findings into "data stories" using tools like&nbsp;Tableau&nbsp;or&nbsp;Power BI&nbsp;to influence executive decisions.&nbsp;
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        Master&rsquo;s degree or bachelors degree and equivalent experience in a quantitative field (Math, CS, Stats)
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          Programming:
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         &nbsp;Proficiency in&nbsp;Python&nbsp;or&nbsp;R&nbsp; along with&nbsp;SQL&nbsp;for database querying.
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          Mathematics &amp; Statistics:
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         &nbsp;Strong foundation in linear algebra, calculus, and statistical modeling.
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         &nbsp;Experience with frameworks like&nbsp;TensorFlow,&nbsp;PyTorch, or&nbsp;scikit-learn.
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       &nbsp;Critical thinking, curiosity, and the ability to explain complex concepts to non-technical audiences.&nbsp;Experience working with global and remote teams
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Data Scientist

police department

<p></p><div><div><div><div><div><div><h1 class="jobSectionHeader"><b>Senior Data Scientist
</b></h1></div><div><div><div><div><ul><li>POLICE DEPARTMENT
</li></ul></div></div><div><div>Posted On: 03/03/2026
</div></div><div><div><ul><li>Full-Time
</li></ul></div></div><div><div><div>Location
</div><div>NYC-ALL BOROS</div>
</div></div></div><div><div><div><ul><li>No Exam Required
</li></ul></div></div><div><div><div><div>Department
</div><div>Office Mgmt Analysis &amp; Plan/CV</div>
</div></div></div><p></p><div><div><div>Salary Range:</div>
<div>$75,000.00 &ndash; $160,000.00</div>
</div></div></div></div><div><div><p><b>Save</b></p>
</div></div></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2></div>
<div><div><p>The mission of the New York City Police Department is to enhance the quality of life in New York City by working in partnership with the community to enforce the law, preserve peace, protect the people, reduce fear, and maintain order. The New York City Police Department strives to foster a safe and fair City through the strategic deployment of resources, focusing on both crime prevention and addressing quality-of-life concerns while building lasting community relationships.<br>
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The Office of Management Analysis and Planning (OMAP) analyze and evaluate Departmental policies, programs, and resources to make recommendations to the Police Commissioner in order to ensure maximum organizational efficiency and effectiveness of the Department. OMAP is the research and assessment arm of the Department. comprised of both uniformed and civilian members of the service with a wide variety of academic and professional experiences. OMAP conducts analyses aimed at improving the effectiveness and efficiency of the Department (e.g., personnel deployments, resource allocation), develops complex pilot projects, formulates policy recommendations and prepares briefing materials for the Police Commissioner on a wide range of legislative and procedural issues.<br>
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The Office of Management Analysis and Planning (OMAP) is seeking a skilled and highly motivated Senior Data Scientist to join the New York City Police Department (NYPD) Data Science team. OMAP serves as the primary evaluation and assessment arm of the NYPD. Acting as a &quot;think tank,' OMAP focuses on exploring and implementing innovative strategies and efficiencies aimed at enhancing policy development, evaluating programs, and optimizing organizational structures and staffing.<br>
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A successful candidate will contribute to the section mission by providing technical leadership and designing data science services that solve Department challenges. They will harmonize software across data science projects and deliver advanced machine leaming solutions. Key responsibilities expert-level development work in Python, wrangling both structured and unstructured datasets (e.g. text, geospatial, network data), and designing effective software architecture. Strong project management and team building skills are required.<br>
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WORK LOCATION:
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1 Police Plaza, New York, N.Y. 10038<br>
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WORK SCHEDULE:<br>
Monday to Friday 8 x 4 or 10 x 6<br>
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TO APPLY:<br>
Please visit: https://cityjobs.nyc.gov and search for Job ID #771153<br>
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ADDITIONAL INFORMATION:<br>
In compliance with Federal Law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.<br>
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The City of New York offers a comprehensive benefits package including health insurance for the employee and his or her spouse or domestic partner and unemancipated children under age 26, union benefits such as dental and vision coverage, paid annual leave and sick leave, paid holidays, a pension, and optional savings and pre-tax programs such as Deferred Compensation, IRA, and a flexible spending account.<br>
<br>
IT PROJECT SPECIALIST - 95710</p><p><b><br>
Minimum Qualifications</b></p><p><br>
1. A baccalaureate degree from an accredited college in computer science, engineering, human computer interaction, interactive media, digital and graphics design, data visualization, communication or a related field, and four years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or<br>
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2. An associate degree from an accredited college in computer science, engineering, human computer interaction, interactive media, digital and graphics design, data visualization, communication or a related field, and six years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or<br>
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3. A baccalaureate degree from an accredited college, and eight years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or<br>
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4. Education and/or experience which is equivalent to &quot;1&quot;, &quot;2&quot;, or &quot;3&quot; above.</p><p><b><br>
Preferred Skills</b></p><br>
- Ability to lead code reviews for data science and maintain core software packages. - Experience designing full-stack software products using Python, SQL, and/or R. - Experience designing statistical and machine leaming models (e.g. scikit-learn, statsmodels. PyTorch, HuggingFace). - Experience performing a wide range of data science tasks, including but not limited to data visualization, natural language processing, geospatial analytics, and nework analysis (e.g. Pandas, NumPy. Matplotlib, NLTK, GeoPandas, Flask). - Excellent oral. written, analytic, organizational, and interpersonal skills and attention to detail are required. - Ability to manage technical debt and use design patterns to design effective software architecture. - Ability to manage multiple projects simultaneously and meet tight deadlines. - Ability to train junior team members and work cross-functionally to strengthen relationships across the department. - Knowledge and understanding of criminal justice policy and research literature is preferred.<br>
<p><b>
Public Service Loan Forgiveness</b></p><br>
As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education&rsquo;s website at https://studentaid.gov/pslf/.<br>
<p><b>
Residency Requirement</b></p><br>
New York City Residency is not required for this position<br>
<p><b>
Additional Information</b></p><div></div><p><br>
The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.</p></div>
</div><div><div><p><b>
</b></p><p><b>Save</b></p>
</div></div></div></div><div><div><div><div><div><div><div>Job ID
</div><div>771153</div>
</div></div><div><div><div><div>Posted until
</div><div>04/01/2026</div>
</div></div></div><div><div><div><div>Title code
</div><div>95710</div>
</div></div></div><div><div><div><div>Civil service title
</div><div>IT PROJECT SPECIALIST</div>
</div></div></div><div><div><div><div>Title classification
</div><div>Non-Competitive-5</div>
</div></div></div><div><div><div><div>Business title
</div><div>Senior Data Scientist</div>
</div></div></div></div><div><div><div><ul><li><div>Experience Level: </div>Experienced (Non-Manager)
</li></ul></div></div><div><div><div><div>Job level
</div><div>00</div>
</div></div></div><div><div><div><div>Number of positions
</div><div>1</div>
</div></div></div><div><div><div><div>Work location
</div><div>1 Police Plaza, N.Y.</div>
</div></div></div><div><div><ul><li><div>Category: </div>Technology, Data &amp; Innovation
</li></ul></div></div></div></div></div></div><div><div><div><div><div>Senior Data Scientist</div></div></div></div></div></div><p></p>

Senior Data Scientist

<div>We're looking for candidates to intern on the Delivery Logistics team as a PhD Scientist intern during summer 2026 (12 weeks). As an intern, you will be embedded in a product team working on solving real-world Uber problems under the supervision of a scientist on that team, and will have the opportunity to partner closely with Software Engineers, Product Managers, and other cross functional partners.
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<b>About the Role
</b><br>
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Have you ever ordered a car service on Uber, and when the ride arrives, wondered how it got to you so fast? Ever ordered food on UberEats and wondered where the driver was before receiving your order and how long it took to get to the restaurant or if your order was ready when the courier arrived? Ever wondered why your grocery delivery from Uber always has the best apple picked? If so, Uber is for you. In our Sciences division, we strive to make magic within Uber's marketplace. This requires judgment to make difficult trade-offs, blending algorithms with human resourcefulness, and the ability to build simplicity from complexity. When we get the balance right for everyone, Uber magic happens. We build systems to peer into the future to craft the most cost-efficient marketplace for matching supply and demand. We are passionate about using innovative economics, machine learning, and scalable distributed software that automates and optimizes every aspect of this intricate dance between participants of the marketplace.
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We are involved in every stage of the product development cycle and use data to inform product decisions, build models to power our solutions, and also develop platform tools that are used across teams with a primary focus on Mobility and Delivery. We work with millions of earners across the globe to make this magic happen and want you to join us!
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<b>About the Team
</b><br>
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The Delivery Logistics team builds real-world technology that powers our global marketplace. Our team of scientists works on diverse problems, including building real-time backend matching systems, creating new delightful user experiences, and serving predictions used for decision making across the marketplace.
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In this role, you will use your quantitative skills to generate insights, develop new models, design metrics and run experiments. Uber operates in a constantly-evolving and competitive environment, and our success requires a deep understanding of our marketplace and the ability to build products that scale on a global footprint. You will work on high visibility, high impact projects which have significant impact on Uber's P+L.
<br>
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<b>What You'll Do
</b><ul><li>Work with a mentor closely to define a business problem, scope a project, develop, and prototype the solution using data-driven approaches
</li><li>Work with a cross-functional team to build cutting-edge marketplace products
</li><li>Deploy analysis techniques such as causal inference and funnel analysis to identify our largest business opportunities
</li><li>Work alongside engineers to design and implement production solutions
</li><li>Design and analyze product experiments, and communicate findings and conclusions with stakeholders
</li></ul><b>Basic Qualifications
</b><ul><li>Pursuing a PhD specializing in Operations Research, Statistics, Economics, Machine Learning, or other quantitative fields
</li><li>Must have at least one semester/quarter remaining after completion of the internship
</li><li>Experience with exploratory data analysis, statistical analysis and testing, and model development
</li><li>Ability to use Python to work efficiently at scale with large data sets
</li><li>Strong problem solving and analytical abilities
</li></ul><b>Preferred Qualifications
</b><ul><li>0-2 years of prior work experience in an analytical setting
</li><li>Organized, detail oriented and able to work independently on multiple projects at once
</li><li>Ability to communicate effectively with both technical and business partners
</li><li>Proficiency with office efficiency tools including email, web browser, web apps, database search, spreadsheets/word processors (Google Apps)
</li><li>Self starter, taking initiative keeping relevant partners in the loop
</li><li>Open to feedback, excellent at implementing newly learned ideas and concepts
</li>Background in data visualization via open-source libraries/packages or third-party tools (i.e. Tableau, Mixpanel, Looker, or similar)<br>
<li>
</li></ul><br>
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For New York, NY-based roles: The base hourly rate amount for this role is USD$67.00 per hour. You will also be eligible for various benefits.</div>

2026 PhD Scientist Intern (Delivery Logistics)

New York Genome Center

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 The Sanjana Lab at the New York Genome Center and NYU's Department of Biology is looking for a motivated individual to work as a Research Assistant within a highly creative and dynamic research team of scientists, engineers, and life science entrepreneurs.Our team works on a diverse array of projects that span genomics, bioengineering, cancer biology and neuroscience. We focus on developing new genome engineering technologies to understand gene regulation, development, tumor biology and genetic drivers of disease. Recent work from the group has included in vivo and RNA-targeting CRISPR screens, pairing CRISPR perturbations with multiomic single-cell readouts, engineering T cell therapies and precise genome editors, and uncovering cis-regulatory elements in the human noncoding genome.We are seeking a motivated Research Assistant to contribute to ongoing projects in genome editing, functional genomics, and cell-based neurobiology, including perturbation-based single-cell approaches. We request that all applicants complete the skills questionnaire here before applying for the position: https://bit.ly/slab-raThe candidate will work closely with experienced postdoctoral fellows and senior scientists, receiving hands-on mentorship in experimental design, cellular neurobiology, advanced microscopy, and data analysis. This role offers substantial opportunities for technical and scientific growth within a top-tier, interdisciplinary research environment.Responsibilities include, but are not limited to:
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 Plan, execute and troubleshoot complex biological experiments both independently and in close collaboration with colleagues.
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 Design and carry out experiments involving molecular biology, mammalian and neuronal cell culture, immunoflourescence, advanced fluorescence microscopy (e.g., spinning-disk confocal) and computational biology, with opportunities to develop deep expertise in these areas.
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 Manage small independent research projects while contributing to larger team-based efforts.
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 Analyze and interpret experimental data, including quantitative image-based readouts.
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 Engage with primary scientific literature and consult with colleagues to refine experimental approaches, troubleshoot challenges, and propose solutions.
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  Requirements
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 Maintain accurate, detailed experimental records and communicate results clearly through presentations, lab discussions, and written documentation.This position is ideal for a highly motivated early-career scientist seeking rigorous training in cell-based neurobiology, advanced imagining and perturbation-based functional genomics within a leading interdisciplinary research environment.Position Requirements:
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 BS in Biology, Neuroscience or a related field, with hands-on laboratory experience in experimental biology.
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 Demonstrated experience with immunofluorescence and fluorescence microscopy; prior exposure to advanced microscopy such as spinning-disk confocal is highly desirable but not required.
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 Evidence of independent thinking and initiative through prior research projects.
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 Ability to collect, analyze and interpret experimental data with exceptional attention to detail and rigor in experimental execution and record-keeping.
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 Strong motivation, scientific curiosity and eagerness to learn new techniques within a highly collaborative and productive environment.
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 In addition to submitting your resume and cover letter through this site, please also complete this web form: https://bit.ly/slab-raCompetencies
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 Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant for current role; strives to expand the depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes, manages expectations and delivers on commitments.
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 Collaborative &amp; Communicative: Models collaboration and teamwork; brings out the best in others; effecti
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Research Assistant, Sanjana Lab (STINGreq)

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