Computer Vision

Salary

US$140000 - US$160000 per annum

Location

Boston, Massachusetts

Description

Have the chance to work on software for advanced autonomous systems!

Reference:

081120/AN0122

Expires on
Salary

US$140000 - US$150000 per annum

Location

New York

Description

Are you technically strong in SQL and Google Analytics and have proven commercial experience managing the full lifecycle of a data product?

Reference:

00009/GL

Expires on
Salary

US$140000 - US$160000 per annum + bonus, benefits, unlimited vacation

Location

New York

Description

ANYWHERE IN US!! Looking for a data scientist within life sciences to work across commercial and therapeutic areas.

Reference:

JPHARNY

Expires on
Salary

US$140000 - US$160000 per annum + bonus, benefits, unlimited vacation

Location

San Francisco, California

Description

ANYWHERE IN US!!! Looking for data scientists within life sciences who can work on commercial and/or therapeutic areas.

Reference:

JPHARDS

Expires on
Salary

US$145000 - US$160000 per annum

Location

Dallas, Texas

Description

A renowned Health Care company is looking to add multiple resources to a new division that sits within their Business Analytics function!

Reference:

101277/GG14

Expires on
Salary

US$115000 - US$130000 per annum

Location

Pittsburgh, Pennsylvania

Description

One of the most advanced robotic systems being deployed in warehouses around the US!

Reference:

103884/AN0122

Expires on
Salary

US$110000 - US$130000 per annum

Location

New York

Description

If you're looking to assist fortune 500 companies to build their online brand, this role could be the next step in your career!

Reference:

96521/OJ333331

Expires on
Salary

US$120000 - US$140000 per annum

Location

Pittsburgh, Pennsylvania

Description

A well-funded robotics team is looking to add a Lead SLAM Engineer to their fast growing team

Reference:

20644-mr6

Expires on
Salary

US$280000 - US$300000 per annum

Location

New York

Description

Looking for a fast-paced data-driven company? Join a global data company to help them grow their business.

Reference:

102821VB4

Expires on
Salary

US$360 - US$528 per day

Location

San Francisco, California

Description

In this role you will be responsible for understanding why new and existing customers prefer certain products and brands.

Reference:

123523

Expires on

Harnham blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out our recent posts below.

Computer Vision Offers Safety and Security in Surprising Industries

At a Yale University speech several years ago, Peter Thiel, the founder of PayPal joked, “We wanted flying cars, instead we got 140-characters”. Well, flying cars are still in the future, and so are self-driving cars. Yet, some autonomous vehicles have found homes in the most unlikely of industries.  The rules and regulations which keep our roads safe are also hindering our ability to realize self-driving cars. Yet, safety measures abound ready to ‘plug-and-play’ the safe handling of you in the driver’s seat and those with whom you share the road. Hands off the steering wheel, of course. Three Ways Computer Vision is Preparing for Driverless Cars 3-D Mapping for RealTime Learning – much like your backing camera on your latest automobile, car cameras can also record live footage to map their environment. From this Data, autonomous vehicles can spot obstacles or determine alternate paths.Sensing Obstacles and Objects – using sensors to determine what the obstacle or object in the road is – whether it’s pedestrians, other vehicles, or even something as simple as a loose bag or cardboard flap. If it’s something you’d have to drive around to avoid hitting, shouldn’t your car know this, too?Gathering Detailed Data – can help your self-driving vehicle identify traffic lights, road conditions, and congestion. Each of these elements are steps to a more reliable experience, once driverless cars come on the scene. In the meantime, there’s an old industry bringing machine and human together like never before. Building for the future is employing robotics, AI, and Computer Vision technologies for seamless integration. Building Technology: Computer Vision Meets Construction Sites It’s backbreaking work to move dirt from one place to another, but if you’re going to build, it’s the first thing to be done. It’s also the most repetitious and mundane. Enter autonomous heavy equipment. These machines prepare the sites for the human crews who will come in later to do the building itself. Before panic sets in that robots are replacing people, understand that people can still move faster than these large machines. The idea behind automating processes is to ensure projects remain on schedule using consistent, reliable resources; man and machine working together. Yet, there is one place where man shines and machine does not. Controlled chaos and changing conditions. The Computer Vision elements employed here can help systems to recognize things such basics as utility lines and variances such as historical artifacts. Finding something like an archeological site or historical artifact can stall or stop a project. But whether the site’s on track to finish on schedule or a glitch throws a curveball into the schedule, the site still needs to be protected. Who better than a drone? Safety First – Construction Site to Driver’s Seat Autonomous vehicles whether on the road or in the sky offer a unique view of their environment. Just as driverless cars are employing 3D mapping and object identification, drones are being used to help navigate and manage construction-size projects. Below are a few ways they’re making waves: Predictive Modelling using Computer Vision - predict how much on-site material may be needed.Put together prefabricated partsTrack progress and watch for things like structural issues, number of trucks entering a site, even if teams are following best practices. Though driverless cars are still future forward ideas, driverless trucks, and other autonomous heavy equipment are in the driver’s seat. Making the idea of working with machines exciting to the professionals in the industry is one way to make the idea more palatable. The move to intelligent, more reliable systems to keep projects and people on track, on budget, safe, and to ultimately solve a problem offers bold solutions for the future. If you’re interested in Big Data, Analytics, Life Sciences, and more opportunities in the Data professional’s industry, Harnham may have a role for you. Check out our current vacancies or get in touch with one of our expert consultants to learn more: For our West Coast Team, contact us at (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.   For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to newyorkinfo@harnham.com.  

Computer Vision in Healthcare Beyond Covid-19

2020. It sounds like the name of a futuristic science-fiction movie or TV show, doesn’t it? Maybe it is. And like our favorite sci-fi flicks there are cutting edge changes happening in real time. We’re the characters in this story and the Computer Vision and Artificial Intelligence partnerships in healthcare are moving fast to help us take care of ourselves. When computers can see what we can’t. When AI can help us make more informed decisions. When the two are combined to help doctors and providers work more efficiently to save lives, that’s when the cutting-edge shines. From the collaboration of Johns Hopkins, the CDC, and the WHO mapping out the data to contact traces to medical professionals on the front lines, we’ve been focused on one thing. Saving lives. But, what about the other medical issues that affect us? Heart disease. Cancer. Neurological illnesses.  What if the latest advances in healthcare could help here, too? Five Ways Computer Vision Helps Healthcare Providers Identifies leading causes of medical illnesses in a time-sensitive manner by creating algorithms for image processing, classification, segmentation, and object detection.Develops deep learning models to create neural networks.Collaboration of teams of scientists working together for the advancement of projects and present findings to business leaders, stakeholders, and clients.Allows providers to spend more time with their patients.Optimization of medical diagnoses using deep learning so doctors can spend more time with patients to help see and solve the problem faster. Computer Vision Engineer Meets AI Professional Artificial Intelligence (AI) offers real world answers in healthcare the world needs today. Computer Vision Engineers build the means to which AI helps providers, patients, and leaders make informed decisions. Core requirements for both roles include, but aren’t limited to: Experience in machine learning and deep learning.How to build computer vision algorithms and probability models.Problem-solving skills, creativity, ingenuity, and innovation.Languages like Python, R, Hadoop, Java, and Spark.Be able to see the big picture while at the same time finding the devil in the details. Always striving to improve, to make better, to advance the technology within the industry. The Challenges and the Potential of Technology in Healthcare At the moment, Computer Vision, AI, and other healthcare technology models are localized to individual placements. The next step is to have these technologies ‘speak’ to each other across hospitals, provider’s offices, telehealth applications, and electronic health records management for a more cohesive benefit of care. As this year rounds to a close, we know the vulnerabilities of our healthcare system, and can find solace in the though that technology is bringing it forward at lightning speed. Automation and telehealth appointments have made it a breeze to talk to our doctors and get results faster. We can pay our bills with the click of a button and even carve out a payment plan, if need be. All without leaving our homes. The data now available to us and our providers offers a foundation, a benchmark of information, so our doctors can make more informed decisions. This data goes beyond the individual, it helps set a precedent for not only individuals, but also entire populations, to help us identify future health issues, epidemics, and pandemics.  Stored data is private and stays within its construct of hospital or doctor’s office, but from it we can create models to plan for the future. Want to make your make your mark in the healthcare and tech industry? We may have just the role for you. Check out our current vacancies or get in touch with one of our expert consultants to learn more.   For our West Coast Team, contact us at (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.   For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to newyorkinfo@harnham.com.