2057 Engineering Science jobs in New York

Positions starting at $20.14 per hour

Up to $40 an hour paid for applicants with previous manufacturing experience

$3/hr shift differential available for 2nd shift

Quarterly bonus

$1000 sign-on bonus

Comprehensive medical, dental, and vision coverage

A 401(k) plan

Company-paid life insurance

1st shift, 2nd shift, and weekend shift

8 hr., 10 hr. and 12 hr. shifts

Available overtime

This is a full time position

CANDIDATES OFFERED EMPLOYMENT ARE REQUIRED TO PASS A PRE-EMPLOYMENT DRUG TEST & BACKGROUND STUDY PRIOR TO EMPLOYMENT

High school diploma or GED.

Basic computer skills are needed

Ability to read, understand, and comprehend documents.

Ability to add, subtract, multiply, and divide.

Ability to use basic gages and measuring devices.

Ability to carry out instructions in written, oral, and diagram form.

Work overtime as needed

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.

We provide training

Prior manufacturing or mechanical experience is a plus!

Forklift license is a plus, but not required

$25.00 - $26.00/hr.

Mileage, tolls, and parking eligible for reimbursement

Medical, dental & vision

Critical Illness, Accident, and Hospital

401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available

Life Insurance (Voluntary Life & AD&D; for the employee and dependents)

Short and long-term disability

Health Spending Account (HSA)

Transportation benefits

Employee Assistance Program

Time Off/Leave (PTO, Vacation or Sick Leave)

The schedule follows extended daytime hours and may vary based on assignment needs: Mondays and Tuesdays from 7:00 a.m. to 8:30 p.m., Wednesdays from 7:00 a.m. to 7:00 p.m., Thursdays and Fridays from 7:00 a.m. to 6:00 p.m. as needed, and every other Saturday from 8:00 a.m. to 5:00 p.m., with Sundays as needed.

Minimum of 3 years of recent phlebotomy experience, with strong proficiency in venipuncture.

Minimum of 2 years of work experience performing venipunctures in a fast-paced laboratory or hospital setting.

High level of proficiency with straight needles and the ability to perform venipunctures independently from the first day.

Demonstrated experience in specimen collection, including blood draws and venipuncture.

Ability to accurately label, handle, and process specimens, including centrifuging, splitting, and freezing as required.

Proficiency with Microsoft Office Suite for basic documentation and communication tasks.

Experience working as a floater or in multiple clinical locations, adapting quickly to different workflows.

Basic familiarity with electronic systems for test requisitions, labels, and patient information updates.

Willingness to travel between sites in Queens, Brooklyn, Manhattan, and occasionally Staten Island, with mileage, tolls, and parking eligible for reimbursement.

$69,300 - $103,770 annually

69300-103770 Yearly Salary

Employee referral bonus

Employee discounts

Volunteer opportunities to give back to our local community

A Canon welcome kit and official merch

Medical, dental, vision, 401(k) Savings Plan, discretionary profit sharing, discretionary success sharing, educational assistance, recognition programs, vacation

Full-Time

Full time

In the office Monday, Tuesday and Wednesday

An option to work from home the remainder of the week

Bachelor's degree in a relevant field or equivalent experience required

3 to 5 years of related experience

Bachelor's degree required in Finance, Mathematics

Programming (Python, SQL)

Machine learning & statistics

Data visualization (Tableau, Power BI, Matplotlib, Looker)

Data wrangling and preprocessing

Excel/Google Sheets and data analysis techniques

BigQuery experience

Proven Generative AI work experience

Expert at Notebook LM and Google Workspace Studio

You must be legally authorized to work in the United States

All applicants must reside in the United States at the time of hire

Experience with data tool such as Python, SAS or SQL preferred

Statistical and or quantitative background preferred

Functional knowledge of analytical tools and report creation technologies preferred