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genomic data scientist

Character Biosciences

<div>
 
 About Character Biosciences
 
 
 
 Character Biosciences is a precision medicine company pioneering targeted therapies for ophthalmology. Our patient data platform integrates genomics with deep, longitudinal clinical and imaging data, enabling us to uncover genetic drivers of disease progression, advance novel therapeutics, and define patient stratification strategies that improve clinical success.
 
 
 Our interdisciplinary team spans human genetics, clinical science, data science and engineering, and drug discovery and development. We are advancing two programs for Dry Age-related Macular Degeneration (AMD) into the clinic, with additional discovery-stage programs underway.
 
 
 Founded in 2018, Character has raised capital from leading investors at the intersection of healthcare and technology, including an oversubscribed $110+ million Series B in 2025 co-led by aMoon and Luma Group, with participation from Bausch + Lomb, Innovation Endeavors, Sanofi Ventures, Catalio Capital Management, S32, KdT Ventures, and Jefferson Life Sciences. We also maintain a multi-target drug discovery collaboration with Bausch + Lomb to develop
 
 
 innovative precision medicines for AMD.
 
 
 
 
 Role
 
 
 : Genomic Data Scientist
 
 
 
 
 Reports to:
 
 
 Human Genetics Lead
 
 
 
 
 Department:
 
 
 Data &amp; Analytics
 
 
 
 
 Level:
 
 
 Scientist I/II
 
 
 
 
 Location
 
 
 : Brisbane, CA or Jersey City, NJ
 
 
 
 The Opportunity
 
 
 
 As a member within our Data Science &amp; Analytics team, you will serve as the primary architect of inquiry, interrogating complex multimodal genomic and biomedical datasets to frame the "killer questions" that drive both therapeutic breakthroughs and business value. Reporting to the Human Genetics Lead, you will lead high-impact initiatives that transform high-dimensional patient data into novel scientific insights and actionable discovery strategies. You will provide executive-level input to our genetics and bioinformatics roadmap while orchestrating cross-functional collaboration between clinical, engineering, and drug discovery teams to ensure our data-driven hypotheses translate directly into clinical reality and competitive advantage.
 
 
 This role is hybrid and can be based in either South San Francisco or Jersey City.
 
 
 
 
 
 This is a preferred hybrid role based at our Jersey City, NJ or Brisbane, CA office.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Advanced Target Discovery &amp; Validation: Accelerate the therapeutic pipeline by integrating cutting-edge analytical frameworks tailored to our unique patient cohorts. You will lead the expansion of in silico target validation tools, empowering bench scientists to make high-confidence, data-driven decisions on target prioritization.
 </li>
 <li>
 Novel Insight Generation: Architect and execute creative analytical strategies to "excavate" deep biological insights from our proprietary data platform. You will move beyond single-variant analysis to uncover higher-level downstream signals, such as gene-set enrichment and pathway-level interactions, that drive business and scientific value.
 </li>
 <li>
 Multimodal Ecosystem Architecture: Implement and support a sophisticated scientific computing environment that seamlessly bridges genomic, clinical, and imaging data. Your goal is to create a unified, "frictionless" data experience that integrates complex pipelines into a cohesive discovery engine.
 </li>
 <li>
 User-Centric Scientific Reporting: Develop and deploy intuitive, user-friendly reporting platforms that translate high-dimensional data into accessible insights, ensuring that complex multimodal findings are interpretable and actionable for stakeholders across the organization.
 
 
 </li>
 </ul>
 
 Skills And Qualifications
 
 
 
 <ul>
 <li>
 Education: Ph.D. in Statistical Genetics, Computational Biology, Bioinformatics, or a related quantitative field with a deep focus on human disease genetics/genomics.
 </li>
 <li>
 Industry Experience: 0&ndash;2 years of post-PhD industry experience in genomic data analysis.
 </li>
 <li>
 Biological Synthesis: Hands-on expertise in gene-set and pathway analysis, with a proven ability to "connect the dots" across genomic datasets.
 </li>
 <li>
 Multimodal Integration: A track record of integrating disparate data streams&mdash;including WGS/WES, single-cell RNA-seq, proteomics, and EHR data&mdash;to construct holistic biological models.
 </li>
 <li>
 Strategic Problem-Solving: Demonstrated ability to deconstruct ambiguous business or scientific challenges into structured, testable hypotheses.
 </li>
 <li>
 Collaborative Leadership: Exceptional communication skills and a "founder&rsquo;s mindset," with the ability to translate "deep-tech" findings into actionable "so-what" insights for executive and clinical leadership.
 </li>
 <li>
 Scientific Excellence: A strong record of innovation evidenced by high-impact peer-reviewed publications or patents.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Therapeutic Expertise: Specialized knowledge or experience in Ophthalmology.
 </li>
 <li>
 Data Versatility: Direct experience working with Real-World Data (RWD) and large-scale proprietary Genomic datasets.
 </li>
 <li>
 Machine Learning Proficiency: Practical experience applying advanced frameworks (e.g., Graph Neural Networks, Transformer architectures) to biological sequences or longitudinal clinical data.
 
 
 </li>
 </ul>
 
 Compensation &amp; Benefits
 
 
 
 The annual pay range for this full-time position is $130,000-$175,000 + equity + benefits
 
 
 This salary range represents the expected base compensation for this role and may vary based on factors including experience, skills, and level.
 
 
 Benefits include a competitive salary, strong equity incentives, medical, dental, vision, 401(k), an accrued paid time off policy. Character is committed to recruiting, developing, and supporting colleagues from all backgrounds. We embrace diversity, equity, and inclusion as an integral part of our culture.
 
 
 
 
 EEO Statement
 
 
 
 
 Character Biosciences is an equal opportunity employer and is committed to building a diverse and inclusive workforce. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status.
 
 
 
 
 Work Authorization
 
 
 
 
 Applicants must be authorized to work in the United States.
</div>

Genomic Data Scientist

MAES Solutions

<div>
 
 
 Maes Solutions
 
 is actively recruiting experienced
 
 Senior Data Scientists
 
 for
 
 full-time
 
 roles with direct clients, emphasizing
 
 direct hires only
 
 with no C2C or agencies. The positions target professionals with
 
 8+ years in ML and analytics
 
 , aligning with high demand for cloud-savvy data experts.
 
 
 
 
 
 
 Senior Data Scientist (Full-Time)
 
 
 
 
 Experience: 8+ years
 
 
 
 
 Type: Full-time (Direct hire only)
 
 
 
 
 About the Role:
 
 
 
 Looking for a Senior Data Scientist with strong expertise in Machine Learning, Advanced Analytics, and Predictive Modeling to build scalable data-driven solutions.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 &bull; Develop/deploy ML models and advanced analytics for predictive insights.
 
 
 &bull; Analyze large datasets (structured/unstructured) to drive business decisions.
 
 
 &bull; Build end-to-end pipelines: feature engineering, model training/evaluation, ETL.
 
 
 &bull; Collaborate with data engineers, product teams, stakeholders on cloud-based solutions.
 
 
 &bull; Implement scalable ML in distributed environments (AWS/Azure/GCP, Spark/Hadoop).
 
 
 
 
 
 
 Core Skills:
 
 
 
 &bull; ML Frameworks: Scikit-learn, TensorFlow, PyTorch
 
 
 &bull; Languages/Tools: Python, SQL, R, Pandas, NumPy
 
 
 &bull; Big Data: Spark, Hadoop
 
 
 &bull; Cloud: AWS, Azure, GCP
 
 
 &bull; Analytics: Statistical modeling, A/B testing, data visualization (Tableau/Power BI)
 
 
 &bull; Production: Model deployment, data pipelines
 
 
 
 
 
 📞 Contact me directly at 201-979-3980 or forward your updated resume to sri@maessolutions.com.
 
</div>

Data Scientist (Full-Time)

SynergisticIT

<div>
 
 
 "Applied Everywhere? Still No Offers? Let&rsquo;s Provide the solution.&rdquo;
 
 
 
 
 
 
 If you&rsquo;ve sent out hundreds&mdash;maybe thousands&mdash;of applications and your inbox is still silent, it doesn&rsquo;t mean you&rsquo;re not capable. It usually means your profile isn&rsquo;t lining up with how companies filter, shortlist, and interview candidates right now. In today&rsquo;s market, employers expect more than a degree or a few tutorial projects. They want candidates who look
 
 job-ready on paper
 
 , sound
 
 confident in interviews
 
 , and demonstrate
 
 hands-on ability
 
 in the tools teams actually use. That&rsquo;s exactly what SynergisticIT solves&mdash;because the real challenge isn&rsquo;t learning in isolation. The real challenge is translating learning into
 
 interviews and offers
 
 .
 
 
 
 
 
 Since
 
 2010
 
 , SynergisticIT has helped thousands of candidates secure full-time roles with leading companies and recognizable brands&mdash;think
 
 Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Walmart Labs, Citi, JPMC, Bank of America, Wayfair
 
 , and many more&mdash;often in the
 
 $95k to $154k
 
 offer range depending on role, location, and skillset. The purpose of SynergisticIT is simple:
 
 close the gap between what you know and what employers expect you to prove
 
 .
 
 
 Here&rsquo;s the truth employers hire based on whether you can handle real work&mdash;clean coding, debugging, teamwork workflows, version control, APIs, cloud basics, deployment pipelines, and the ability to explain what you did. That&rsquo;s why SynergisticIT emphasizes structured skill-building, project depth, resume positioning, interview readiness, and support through the job-search process.
 
 
 
 
 
 
 What roles are in demand right now?
 
 
 
 A lot of jobseekers assume they must become &ldquo;AI experts&rdquo; overnight. Not true. Many companies are actively hiring professionals in core roles that run modern software teams. In JOPP, the demand typically includes roles such as
 
 entry-level software programmer
 
 ,
 
 Java full stack developer
 
 ,
 
 Python/Java developer
 
 ,
 
 data analyst
 
 ,
 
 data engineer
 
 ,
 
 data scientist
 
 , and
 
 machine learning/AI engineer
 
 . In other words, SynergisticIT focuses on building candidates across
 
 Java / Full Stack / DevOps
 
 and
 
 Data Analytics / Data Engineering / Data Science / ML/AI
 
 based on what employers repeatedly request.
 
 
 
 
 
 
 Who benefits most from this model?
 
 
 
 If you&rsquo;re applying and not seeing results, you&rsquo;re likely in one of these situations:
 
 <ul>
 <li>
 You have skills, but your resume doesn&rsquo;t show impact and your projects look generic
 </li>
 <li>
 You know tools, but you can&rsquo;t explain them confidently in interviews
 </li>
 <li>
 You&rsquo;ve learned from courses, but you lack real-world structure and job alignment
 </li>
 <li>
 You&rsquo;ve built a portfolio, but it doesn&rsquo;t match what hiring managers evaluate
 </li>
 </ul>
 
 
 
 
 
 Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
 
 
 <ul>
 <li>
 
 What Recruiters Look for in Junior Developers | SynergisticIT
 
 </li>
 <li>
 
 Software engineering or Data Science as a career?
 
 </li>
 <li>
 
 How OPT Students Can Land Tech Jobs &ndash; SynergisticIT
 
 </li>
 </ul>
 
 
 
 
 SynergisticIT works especially well for candidates such as: recent grads in
 
 CS/Engineering/Math/Stats
 
 , jobseekers who were
 
 laid off
 
 and need an updated stack, career switchers who want a guided plan, candidates with
 
 career gaps
 
 , people with &ldquo;learning but not hired&rdquo; bootcamp history, experienced professionals not landing interviews, and international candidates on
 
 F1/OPT
 
 needing a clear employment pathway. SynergisticIT also supports candidates with guidance around
 
 STEM extension
 
 and provides process support for
 
 H-1B and Green Card filing
 
 once employed (as applicable through employers and standard processes).
 
 
 
 
 
 If you want to explore, here are the key links:
 
 <ul>
 <li>
 
 Event videos (OCW, JavaOne, Gartner):
 
 </li>
 <li>
 
 USA Today feature
 
 </li>
 <li>
 
 Contact Us:
 
 https://www.synergisticit.com/contact-us/
 </li>
 </ul>
 
 You don&rsquo;t need more random applications. You need a job-ready plan.
 
 Start smarter&mdash;start with the right support.
 
 
 
 
 
 
 
 
 Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
 
 
 
 
 
 
 
 Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don&rsquo;t want to be contacted please don&rsquo;t submit your resume.
 
 
 
 
 
 
</div>

entry level data scientist/ Junior java developer

Realign

<div>Jersey City, New Jersey 07030 Posted March 13th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Full Time
Job Category: IT
Job Description
<div>Job Title: Hadoop Developer</div><div>
Location: Jersey City, New Jersey_onsite</div><div>
Employment Type: Full-Time</div><div></div><div> 
Job Summary</div><div></div><div> 
We are seeking a skilled Hadoop Developer to join our data engineering team. The ideal candidate will design, develop, and maintain scalable big data solutions using the Hadoop ecosystem. You will work closely with data engineers, analysts, and business stakeholders to process large datasets and build reliable data pipelines that support analytics and business intelligence.</div><div></div><div> 
Key Responsibilities</div><ul><li> Design, develop, and maintain big data applications using the Hadoop ecosystem.</li><li> Build and optimize data pipelines for ingesting, transforming, and processing large-scale datasets.</li><li> Develop solutions using tools such as Hive, Spark, MapReduce, HDFS, and Kafka.</li><li> Write efficient SQL queries and scripts for data extraction, transformation, and loading (ETL).</li><li> Collaborate with data scientists, analysts, and engineering teams to deliver data-driven solutions.</li><li> Monitor and troubleshoot data processing workflows and cluster performance.</li><li> Ensure data quality, governance, and security best practices.</li><li> Optimize Hadoop jobs for performance and scalability.</li><li> Document technical designs, workflows, and development processes.</li></ul><div></div><div> 
Key Skills</div><ul><li> Hadoop Ecosystem</li><li> Apache Spark</li><li> Hive &amp; HDFS</li><li> Kafka</li><li> Python / Java / Scala</li><li> ETL &amp; Data Pipelines</li><li> SQL &amp; Data Warehousing</li><li> Linux / Shell Scripting</li></ul><div></div><div> 
Required Qualifications</div><ul><li> 6+ years of experience in Hadoop or big data development.</li><li> Strong experience with Hadoop ecosystem tools (HDFS, Hive, Spark, MapReduce, Sqoop, Kafka).</li><li> Proficiency in Python, Java, or Scala.</li><li> Experience with ETL tools and data pipeline development.</li><li> Strong knowledge of SQL and data warehousing concepts.</li><li> Familiarity with Linux/Unix environments.</li><li> Experience with distributed data processing and big data architecture.</li><li> Experience with cloud platforms such as AWS, Azure, or Google Cloud.</li><li> Familiarity with workflow orchestration tools (Airflow, Oozie).</li><li> Knowledge of data lakes, data governance, and data security practices.</li><li> Experience in financial services or large enterprise environments.</li></ul> 

Required Skills
CLOUD DEVELOPER SQL APPLICATION DEVELOPER</div>

Hadoop Developer

Tiger Analytics

<div>Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.
We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization. 
Requirements 
Key Responsibilities<ul><li>
Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.</li><li>
Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics, reporting, and AI-driven use cases.</li><li>
Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring.</li><li>
Support data preparation and ingestion for AI/ML and Generative AI workloads, including handling structured and unstructured datasets.</li><li>
Enable data pipelines that support LLM-based applications, vector embeddings, and knowledge retrieval systems.</li><li>
Lead the migration of legacy data systems to modern cloud-based data architectures.</li><li>
Develop and maintain CI/CD pipelines for data workflows and platform automation.</li><li>
Collaborate with data scientists, ML engineers, and AI teams to ensure data availability for model training, inference, and GenAI applications.</li><li>
Optimize data pipelines for performance, reliability, scalability, and cost-effectiveness using AWS best practices.</li></ul>
Required Skills<ul><li>
8+ years experience as a Data Engineer working with AWS cloud services.</li><li>
Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, and related data platform tools.</li><li>
Experience building data pipelines using Databricks, Apache Spark, and SQL.</li><li>
Experience with Apache Airflow for workflow orchestration.</li><li>
Strong understanding of data modeling, data lake/lakehouse architectures, and ETL/ELT frameworks.</li><li>
Experience with CI/CD pipelines and version control systems (Git).</li><li>
Exposure to Generative AI or LLM-based applications.</li><li>
Experience supporting data pipelines for AI/ML workloads.</li><li>
Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures.</li><li>
Experience working with LLM APIs or AI frameworks such as LangChain.</li><li>
Understanding of MLOps workflows and model deployment pipelines.</li></ul> 

Benefits 
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.</div>

Senior Data Engineer

Derex Technologies inc

<div>Company Description 
Derex Technologies Inc specializes in providing IT consulting, staffing solutions and software services. Globally headquartered in Harrison New Jersey since 1996 Derex delivers the highest quality technology professionals and an array of customized IT talent solutions designed to improve productivity and drive results to global clients throughout North America.
With over two decades of unparalleled experience, Derex provides supports to its clientele, across such industries as Systems Integration, Banking and Finance, Telecommunications, Pharmaceutical and Life Sciences, Energy, Healthcare, Technology, Transportation, and local and federal Government agencies. 
Job Description 
Role: Databricks Data Engineer
Location: NJ/ PA onsite
About the job
We are seeking a Databricks Data Engineer with experience in designing and developing data pipelines using Azure Databricks, Data Factory, and Datalake. The role involves managing large volumes of data, building complex ETL solutions, and working closely with business teams to deliver robust data transformations and analytics solutions. 
Responsibilities:<ul><li>
Design and develop ETL pipelines using ADF for data ingestion and transformation.</li><li>
Collaborate with Azure stack modules like Data Lakes and SQL DW to build robust data solutions.</li><li>
Write SQL, Python, and PySpark code for efficient data processing and transformation.</li><li>
Understand and translate business requirements into technical designs.</li><li>
Develop mapping documents and transformation rules as per project scope.</li><li>
Communicate project status with stakeholders, ensuring smooth project execution.</li></ul>
Requirements Must have:<ul><li>
10-12 years of experience in data ingestion, data processing, and analytical pipelines for big data and relational databases.</li><li>
Hands-on experience with Azure services: ADLS, Azure Databricks, Data Factory, Synapse, Azure SQL DB.</li><li>
Experience in SQL, Python, and PySpark for data transformation and processing.</li><li>
Familiarity with DevOps and CI/CD deployments.</li><li>
Strong communication skills and attention to detail in high-pressure situations.</li><li>
Experience in the insurance or financial industry is preferred.</li></ul> 
Regards, 
Manoj
Derex Technologies INC
Contact : 973-834-5005 Ext 206 
Additional Information 
All your information will be kept confidential according to EEO guidelines.</div>

Databricks Data Engineer

Ignite Insurance Systems

<div>The ISO Programs Operations department of Verisk Analytics is looking for an analyst verse in client solution implementation who is responsible for dealing with data; data management, data requirements, and data analysis. This contributes to our ability to support and assist with our external partner's reporting responsibilities and prepare data reviews, regulatory filings and compilations in a timely and accurate manner for submission to state insurance departments and ISO affiliates.
You will have the opportunity to learn and apply insurance business knowledge and your technical skills in order to research and implement data capture mechanisms and strategies that will maximize usability of reported data for our products and services.
As a member of the Data Management Solutions unit, you will be involved with data mining, manipulation and onboarding of new clients. You will have close interactions with stakeholders (internal and external) on data reporting requirements, and other data management activities. You will be involved in creating, building and improving processes and procedures to support different strategic plans.</div>
 <div>About the Day to Day Responsibilities of the Role
<ul><li>Create, modify and execute programs to extract, transform and summarize data, as input to derive analyses and reports.
</li><li>Support strategic initiatives associated to cloud computing, by helping to migrate code, data and processes, and reconciling results against existing procedures.
</li><li>Contribute to our business processes and recommend improvements in data management, error identification, quality control, process automation, and analytic techniques.
</li><li>Partake in newly created data transformation reporting system and assist with ongoing maintenance, while working closely with our development team.
</li><li>Provide high quality support to client needs including data profiling, mapping and data lineage, data transformation and development, data quality analysis, and data and business inquiry resolutions.
</li><li>Collaborate with other divisions, integrating information from multiple sources along with independent analysis and research to prepare appropriate data capture mechanisms and support.
</li><li>Ability to prioritize business needs and make decisions while handling multiple projects.
</li><li>Use appropriate business language to develop clear and concise data reporting standards and instructions.</li></ul></div>
 <div>About You and How You Can Excel in this Role
<ul><li>Bachelor's degree in Arts or Science, communication, economics, data analytics, statistics or a related field.
</li><li>At least 2 years of relevant work experience, including data transformation or data mining experience using large and complex datasets.
</li><li>Background in property/casualty insurance; knowledge of ISO statistical plan reporting and/or other Statistical Agent plans is a plus; knowledge of ISO Underwriting and Rating Products is a plus.
</li><li>Experience with data management technologies (SQL, etc); experience with data blending tools (Alteryx, etc) is a plus.
</li><li>Have a good understanding of and experience with data manipulation, report generation and data validation procedures including coding of small to mid-size data transformations, cleansing and validation scripts.
</li><li>Working knowledge of any reporting or Business Intelligence tools a plus.
</li><li>Solid background in Microsoft Office (Word, Excel at minimum).
</li><li>Passion for problem solving with strong critical thinking and analytical skills.
</li><li>Strong written and oral communication skills.
</li><li>Ability to work under time constraints and adjust plans in the face of changing priorities.
</li><li>Must be a self-starter, self-motivated, customer-service oriented and capable of working both independently and in a team environment.
</li><li>Continued desire and ability to learn.
</li><li>Professional insurance exams a plus; CPCU, IDMA, etc.</li></ul></div>
 <div>For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.
At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.
For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work&reg; for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work&reg; Certification, we&rsquo;ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World&rsquo;s Best Employer and Best Employer for Women, testaments to the value we place on workplace culture.
We&rsquo;re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.
 Verisk Businesses
Underwriting Solutions &mdash; provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision
Claims Solutions &mdash; supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences
Property Estimating Solutions &mdash; offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient
Specialty Business Solutions &mdash; provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance
Catastrophe and Risk Solutions &mdash; provides risk modeling solutions to help individuals, businesses, and society become more resilient to catastrophic events.
Marketing Solutions &mdash; delivers data and insights to improve the reach, timing,relevance, and compliance of every consumer engagement
Life Insurance Solutions &ndash; offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.
Verisk Maplecroft &mdash; provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger
Verisk Analytics is an equal opportunity employer.
Verisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location.
All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk&rsquo;s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.
https://www.verisk.com/company/careers/
Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
Verisk Employee Privacy Notice</div>

Business Analyst | Statistical Reporting Analyst

Explore 66+ Genomic data scientist in Jersey City this March. Find roles across top companies and apply now to boost your career.