1822 Programmer Analyst jobs in Boston,MA

$28.00 - $32.00 per hour

Day one benefit package.

Opportunities for professional growth and development.

Full-time

Shift is flexible.

High school diploma or equivalent;

Proven experience as a CNC Mill Programmer and Setup Technician, preferably in an electronics manufacturing environment.

Proficiency in CAD/CAM software (e.g., Mastercam, SolidWorks) and G-code programming.

Strong understanding of machining principles, tooling, and materials.

Ability to read and interpret engineering drawings and specifications.

Strong mechanical aptitude and manual dexterity.

Position requires candidate to be a U.S. person as defined in ITAR, 22 CFR 120.15 (U.S. Citizenship or Resident Alien Status) and defined by 8 U.S.C. 1101(a) (20).

DMG/Mori Seiki/HAAS experience a plus

Technical degree or certification in CNC machining preferred.

A portion of On-Target Earnings will be variable and tied to specific sales-related goals as set forth by Arrow.

Competitive financial compensation, including various compensation plans

$84,300.00 - $160,050.00

Medical, Dental, and Vision Insurance

401k, With Matching Contributions

Short-Term/Long-Term Disability Insurance

Health Savings Account (HSA)/ Health Reimbursement Account (HRA) Options

Paid Time Off (including sick, holiday, vacation, etc.)

Tuition Reimbursement

Growth Opportunities

Full time

5+ years of electronic design experience with a bachelor's degree in electrical engineering or computer science

Must have experience designing with FPGA's (HDL, Simulation, Verification, etc.…); should know how to instantiate IP into FPGAs and generate a design.

Skilled in FPGA system test, validation, and debugging methods- (Signal tap, Chip scope, etc.)

Understand high-speed digital circuits and board design

Sales experience is beneficial in this role.

$67,133.00 - $100,699.00

24 hours

Biomedical researcher with specialized training in quantitative methodology and a research focus on the biology of aging

Requires familiarity with statistical analysis, software development, visualization, algorithm development, supervised and unsupervised learning, and predictive analytics.

Advanced skills in data management, manipulation, and summarization are critical, particularly for harmonizing DNA methylation and other omics datasets across multiple cohorts into standardized, reproducible analytic platforms.

Requires a doctoral degree in a quantitative biomedical science field such as bioinformatics, biostatistics, quantitative epidemiology, computational neuroscience, statistical genetics, econometrics, systems biology, or data science, with at least 2 years of experience as a professional quantitative scientist (postdoctoral research training in a related quantitative field will satisfy this requirement). Experience equivalent to academic training may be substituted in relevant cases.

Knowledge of statistical and quantitative modeling (regression / GLM / GAM, simulation, cluster analysis, neural networks, decision trees, bagging, boosting, dynamical systems modeling, etc.); demonstrated proficiency in R and/or Python for large-scale DNA methylation and other omics data processing.

Specialized training and experience in more than one quantitative programming language (R/Python/Matlab) is essential.

Ability to manage, manipulate and clean complex multi-omic data structures, including DNA methylation and other aging biomarker datasets drawn from multiple independent cohorts.

Ability to conduct statistical, machine learning and predictive analyses including benchmarking and validation of aging biomarkers such as epigenetic clocks.

Ability to formulate research questions and testable hypotheses in aging biology, and to design analyses that address them.

Ability to develop exploratory analyses and analytic summaries in visual and written form.

Ability to speak and present in English to communicate scientific results.

A sustained record of peer-reviewed publication, including first-author work

Strong oral and written English language skills

Skills in natural language processing and emerging AI-assisted data harmonization tools are a plus.

Existing, or ability to develop, comfort with rigorous version control and the principles of reproducible research are required.

Experience developing and maintaining harmonized, multi-dataset analytic platforms, and benchmarking or validating aging biomarkers across cohorts, is highly valued.

Experience contributing to team leadership in quantitative analysis or machine learning is helpful.

Experience with database technologies (SQL, REDCap) is helpful.

Familiarity with emerging AI-agent-based and foundation-model approaches to biomedical data harmonization is a plus.

Experience with web services and distributed computing tools is preferred.

Experience using high performance computing systems running Linux or UNIX OS and experience with cloud-computing platforms such as Amazon Web Services (AWS) or Google Cloud are a plus.

Hands-on experience in aging and geroscience research, including epigenetic clocks or multi-omic aging biomarkers, are strongly preferred.

Access to learning content on Degreed and other informational platforms

Full-Time

Bachelor's degree in Economics, Business, Finance, Applied Mathematics, or similar quantitative area of study

3+ Years of progressive experience in any of the following areas: Corporate Treasury, Financial Planning & Analysis (FP&A;), Corporate Development / M&A;, Management or Risk Consulting, Risk Management, or Quantitative Analysis

Experience with financial modeling in Microsoft Excel

5+ years of progressive experience in Corporate Treasury, FP&A;, or Financial Modeling

CFA/FRM or progress towards CFA or FRM

Experience from banking or insurance industries

Direct experience in liquidity stress testing concepts, including stress testing scenario design, assumption design and review, and contingency funding planning

Experience with large, complex financial datasets and translating insights into actionable recommendations for business partners

Demonstrated Technical and Data Visualization skillset (e.g., Power BI, Tableau, SQL, Alteryx)

Understanding of investments and asset-liability management

Understanding of insurance liabilities and familiarity with their associated liquidity risks

Up to USD $15 per hour, paid weekly

Earn up to USD $15 per hour

On average, contributors earn an additional 7.5% through Missions — Outlier's version of surge pricing. The top quartile boosts their earnings by an average of 11%.

Certain projects offer incentive payments.

Free access to leading LLMs, worth $200+/month

Flexible, no minimum hours

Payments are processed weekly on Tuesdays, covering tasks completed during the previous pay period (Tuesday to Monday at midnight UTC), via PayPal, AirTM, or ACH transfer.

Set your own schedule, whether that's five or 40+ hours per week.

A valid ID and mobile phone from your country of residence

An up-to-date resume that highlights your expertise

A LinkedIn profile showing your educational background and work experience

Currently accepting applicants from:** Australia, Canada, Ireland, New Zealand, United Kingdom, and United States.

You must be authorized to work in your country of residence.

Fluent English speaker

Experience writing short, evidence-based explanations or reviews

Nice to have: Pursuing or holding a Bachelor's degree or above