- UpvoteDownvoteShare Job
- Suggest Revision
Abt Associates seeks a mid-level professional in Data Analytics with a background in data used by the United States Department of Health & Human Services (HHS) Centers for Medicare & Medicaid (CMS), Social Security Administration (SSA), Centers for Disease Control (CDC), or other HHS agencies.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Building this data management system will require incorporating and advancing best practices across statistical analysis, cloud computing, system networking, API generation, ontology management, database schema, query optimization, knowledge graphs, and security protocols.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Have hands-on experience developing and supporting a modern data infrastructure, including cloud data warehouses such as Snowflake, BI tools such as Looker, and data orchestration platforms such as Airflow.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Oligo Data Science LeaderThe oligotherapy data science leader role is embedded in and directly supports the Oligo Sciences team whose broad remit is the design, characterization, and early development of oligonucleotide therapies.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with streaming / data processing technologies such as Beam, Spark, Kafka, Airflow, HBase, Presto. Experience in stream / data processing technologies like Kafka, Spark, Google BigQuery, Google Dataflow, Presto, HBase.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Has a demonstrated understanding of clinical data capture/management systems, clinical databases, data flow, and related infrastructure, with experience in/around EDC, EHR, eCOA, IRT, CDR, MDR, SCE and adjacent systems.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Strong proficiency with data warehousing tools (Snowflake, SQL Server, Google BigQuery). In this position, the AI/ML Big Data Architect will play a critical role in assisting researchers by designing and implementing robust data architectures, optimizing AI/ML data workflows on large-scale systems, implementing best practices for data integrity and scalability, building and maintaining the distributed AI/ML data infrastructure, and ensuring seamless integration of cutting-edge data storage and retrieval techniques with research initiatives.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Director of Data Science & AI Research Chemistry. Serving as a prominent ambassador for AI & Data Sciences at Novartis by presenting and publishing influential articles and research findings.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with advanced knowledge of psychometrics, econometrics, and biometrics such as validation of health measurement scales, longitudinal data analysis, missing data methods, multiple comparisons techniques, cost-effectiveness analysis, generalized linear models, meta-analysis, real-world data analysis, and conjoint analysis.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
This candidate must be an experienced BI developer who is also able to manage requirements gathering and client interactions along with being proficient in common BI tools like QlikView, Qlik Sense, Tableau and Power BI. The candidate will be expected to work closely with Master Data Management, Data Warehouse, and Sales Operations teams to ensure overall project success.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with a data scripting language (Python, SAS, R) & SQL and analyzing large and complex data sets is required. Bachelor’s degree in quantitative fields such as Statistics/Data Science/Econometrics/Mathematics/ Business Analytics preferred.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Strong Programming skills with good understanding of concepts such as OOPS, design patterns, master data management & Ontology development. Data bases (SQL, NoSQL) and Data Platforms (Databricks, Snowflake.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Job Highlights: Apply and develop artificial intelligence and machine learning (AI/ML) approaches (e.g. classification, clustering, machine learning, deep learning) on pharma research data sets (e.g. activity, function, ADME properties, physico-chemical properties, etc.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
PhD degree in computer and information sciences, bioinformatics, cheminformatics, computational biology/chemistry with a minimum of 3 years' experience, or PhD in Biology, or life science field with minimum of 4 years’ experience in data sciences.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark. Position SummaryAs a Sr Machine Learning Engineer for Analytics and Behavioral Change team, you will be working on billions of records of retail and healthcare data.
Full-timeExpandApply NowActive JobUpdated 4 days ago
data job in Needham, MA
FEATURED BLOG POSTS
Making the Move to Salary Transparency
The salary transparency trend continues. Last year, Colorado passed its Equal Pay Transparency Rules, which required employers to include compensation in job postings, notify employees about promotional opportunities, and record job descriptions and wage records. Soon after, states like Washington, Nevada, Maryland, and Rhode Island followed suit.
Brand Reputation 101
People's initial perception of your organization is also known as your brand reputation. Your brand rep either encourages or discourages people from engaging with your company. This means the way people view your company will affect sales and even recruiting efforts.
Recruiting in a Tight Market
As a recruiter or employer, you know how much the economy affects your recruitment and retention efforts. You aren't just in competition with companies in your industry, but you are also fighting against inflation, recession, unemployment rates, and so much more.
How to Build a Candidate Persona
A candidate persona is a semi-fictional representation of your ideal candidate. Building a candidate persona is one of the best methods employers use to ensure their sourcing, recruiting, and hiring processes are focused. Knowing exactly what you're looking for streamlines everything and helps increase hiring confidence. So here's how to create a candidate persona and how to use it.
How to Get Into The Trades: Step-by-Step Guide
Getting a trade job can be a great career move if you like variety and prefer to learn on the job instead of in an academic setting. A trade job can offer security and be a lucrative career path as the demand for skilled trade workers continues to grow.
How do Good Interviewers Prepare for Interviews?
Just like candidates take the time to research you and your company, you should take the time to prepare for the interview. Preparing for the interview doesn't just reflect well on your employer brand and create a better candidate experience. Preparation also helps prevent bad hiring decisions. Bad hiring decisions are usually a result of poor execution during the hiring process. However, going into an interview fully prepared and ready to evaluate candidates will help avoid bad hires. So, here are 6 interview preparation tips for employers.
Should I Hire for Potential Over Experience?
The workforce is shifting every day. In fact, research from the World Economic Forum (WEF) shows over half of employees around the world will need to upskill or reskill by 2025. The rapid rise of digital literacy, automation, and new technologies will quickly supersede businesses that don't train ahead of the curve. With the dire need to invest in training, it's evident that hiring someone with experience isn't that much different than hiring someone without it.