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Lead Data Scientist
Salary

US$170000 - US$200000 per annum + competitive benefits

Location

San Francisco, California

Description

An exciting start up in the health and wellness space working on a life changing device!

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Principal Data Scientist - Deep Learning
Salary

US$180000 - US$220000 per annum + Competitive Benefits

Location

San Francisco, California

Description

Harnham is working with a global leader that's looking for hands-on team leads!

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Lead Data Scientist
Salary

US$165000 - US$175000 per annum

Location

Palo Alto, California

Description

Looking to make a change? Check out this great new opportunity working with a giant in the finance space and make the move today!

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Staff Data Scientist
Salary

US$160000 - US$200000 per annum

Location

San Francisco, California

Description

A leading San Francisco based Software company looking to hire an experienced data science with the ambition to lead a team.

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Staff Data Scientist
Salary

US$160000 - US$200000 per annum

Location

San Francisco, California

Description

An exciting senior hire within a profitable and well established start-up in San Francisco. Flexible/home working available if required.

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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.

How Computer Vision Is Changing Healthcare

It may seem like every new decade we have a new technology to master. But what if we’ve flipped the script? Now AI has a new technology to master. I'm talking about Computer Vision. Just like humans learn to identify shapes into objects as children, so too, must the technologies we’ve created.  Why? Because autonomous vehicles need to know the difference between a tree and a person holding their grocery bags. Because manufacturing bots need to identify defective products before they go to the public. And in healthcare, Computer Vision can help us identify disease, help doctors make diagnoses, and dig deeper into what makes humans human. Three Trends to Watch  Already, systems have a 99% accuracy rate at emulating human sight. Like our own calculations when we “see” an object, machines will have to process, analyze, and understand the image as well. Thanks to Machine Learning and Neural Networks using pattern recognition, this is possible. What could this mean for the healthcare industry? Imaging Devices like X-Rays and MRI Machines will get smaller and more mobile. This trend will allow simpler imaging, quicker workflows, and live imaging for quicker diagnoses.Next Generation Phenotyping (NGP) allows predictive diagnoses using Computer Vision and Deep Learning to analyze data at the molecular level. Telemedicine to open greater access to your doctor rather than the traditional brick-and-mortar doctor’s office visit. Electronic Health Records (EHR) for a patient profile gives direct access to patient information and could reduce the cost of logistics and gaps in expertise. And Remote Patient Monitoring (RPM) allows for real-time medical decisions to flow between patient-doctor without the ubiquitous red tape traditional medicine brings. Recent advancements in visual technologies will have a strong impact in a variety of industries. But it’s in the healthcare industry, Computer Vision, AI, and IoT will particularly shine as the technologies converge for greater progress in healthcare.  AIoT and Image-Based Data Converge for Improved Outcomes  There are such a variety of uses for Computer Vision in medicine, it can be hard to imagine where it can't be used. When you consider how much medical data is image-based such as mammograms, MRIs, CT Scans, X-Rays, and Echocardiograms, it’s easy to see how patients will benefit.  Imagine getting an early diagnosis to stop the spread of cancer or stopping dementia in its tracks. These systems alone can assist with surgery, identify problems early, and more. When your medical team of institutions, providers, and patients have access to these systems and truly partner, then this becomes the future of healthcare.    Add to improvements in computer vision, the rapidly advancing technologies of AI, and IoT and watch how quickly problem-solving scenario outcomes improve across all industries. Much like the last convergence of mobile phones and the internet, AIoT will usher in a new era of human history in similar fashion. Risk and Reward of AIoT, ML, and Computer Vision With greater advancement, comes greater risk and reward. As sensors and connectivity multiply across devices and industries, renewed focus should include privacy and security. Such large volumes of Data, even within the healthcare industry, can be targets for hackers as well as government entities. It may seem strange to consider this in the light of the healthcare vertical, but imagine the repercussions of denials due to medical issues or the inverse of identity theft.  The convergence of AIoT and Computer Vision technologies use complex algorithms for predictive analytics. Add Machine Learning into the mix and watch workflows streamline, simplified problem-solving unfold, and improved reliability and sustainability of data capture and how it can enhance an organization’s processes.  In the cumbersome world of healthcare and its institutions, Computer Vision, AI, IoT, and Machine Learning offer a simpatico balance between patient and provider that flips traditional healthcare upside down. Advancements within the last few years and in the coming decade are primed to bridge the gap between patient and provider. But it’s going to need Data professionals who have a passion for the industry and can guide these technologies to the next stages in their development. The Computer Vision industry is supercharged and is expected to reach $48.6 billion by 2022. Ready to see where the latest technologies can take you? If you’re interested in Computer Vision, Big Data, and Analytics, Robotics, and more, we 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, call (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.  

Mairead Holt

Mairead Holt

27. February 2020

Reflections On The Watermark Conference For Women

This week I was fortunate enough to head down to the Watermark Conference for Women alongside our SVP, Stephanie Brooks. As we enter 2020 and women continue to shatter glass ceilings, Harnham firmly believe in a proactive approach towards placing more women in Data & Tech roles.  Diversity and inclusion are integral to our story and core beliefs and we strive to continually re-evaluate how we create measurable change in the marketplace and redefine the metrics of successful and excellent recruitment. For us, attending the conference was a chance to meet and learn from some of those women who are leading the way. Every talk inspired me in some way but there were a couple I really connected with, and I wanted to take the opportunity to reflect on how they impact the work we do at Harnham. WHAT IS WATER? One talk that struck a chord with me was Seth Godin’s breakfast keynote, inspired by a commencement speech by David Foster Wallace in which he famously tells a story of two fish out at sea. The story goes: “There are these two young fish swimming along and they happen to meet an older fish swimming the other way, who nods at them and says ‘Morning, boys. How’s the water?’ And the two young fish swim on for a bit, and then eventually one of them looks over at the other and goes ‘What the hell is water?’”. Godin’s speech was meditated on how attitudes and beliefs are the indicators of future success. In his speech, Godin echoed Wallace’s sentiment that “freedom involves attention and awareness and discipline, and being able truly to care about other people and to sacrifice for them over and over in a myriad of ways every day.” Recruitment is an industry where it is easy to swim along without questioning what water or recruitment really is. To question what is water - what is recruitment - requires thoughtful analysis, careful consideration, and of course, “attention, awareness, and discipline”. As the global leaders of Data & Analytics recruitment, we remind ourselves daily that we are responsible for making meaningful change. Water is, to us, what we make of it.  For Seth, his water is marketing. For Harnham, our water is recruitment and we stand by Wallace’s challenge to stay conscious and alive in our jobs. Day in and day out Harnham will continue to make the case for agency recruitment to be diverse and inclusive, as this is in the best economic interest of our clients.   THE ECONOMY OF DIVERSITY One of the most insightful and compelling moments of the day was a conversation between Pat Mitcheel and Indra Nooyi, the former chair and CEO of PepsiCo. Having directed the company’s global strategy for more than a decade, Nooyi is uniquely poised to discuss the importance and power of having women in every capacity within an organization.  During the conversation, she highlighted the statistics that measure the success companies achieve when women have equal representation at all levels. Currently, gender parity exists in entry-level positions but is absent in the 2nd and 3rd tiers of the workforce. While Nooyi highlighted that having a diverse and inclusive workplace should be an integral part of every company’s corporate social responsibility, she argued that this also leads to unprecedented economic growth. This aligns closely with our view of Diversity at Harnham, something which we examined in more detail in our Diversity Report.  For Nooyi, in making the case for the economics of diversity, she used the work of care economists to show how implementing policies that affected the unique interests of women are proven to not only keep women in the workforce and draw them back to work after children but are also shown to increase the economic output of countries. Institutional change at the corporate level and policies focused on those who have care-giving responsibilities have been shown to positively influence economic growth and increase the happiness and productivity of workers.  BREAKING OUT  As a woman working in a fast-paced and competitive environment, I also took a number of insights from the various break-out sessions held throughout the day. Here are a few highlights:  Women Breaking Barriers: Michelle P. King, Andrea McBride John, Pat Mitchell, Samantha Rapoport Find a mentor, be a mentor. Find a sponsor, be a sponsor. Find a sister, be a sister.Take up space and own it Share your successes with the women and men around you Building a Network of Relationships, Not Just Contacts: Laura Okmin Focus on asking people who they are, not what they do Reach out when you don’t need anything, maintain relationships  The Myth of the Nice Girl Nice people build  trust, trust is the foundation of all business relationships You don’t have to choose between kindness and strength If you want to break glass ceilings, we may have an opportunity for you. Take a look at our latest roles or get in touch with one of our expert consultants to find out more.  For our West Coast Team, call (415) 614 - 4999 or send an email to sanfraninfo@harnham.com. For our Mid-West and East Coast Team, call (212) 796 - 6070 or send an email to newyorkinfo@harnham.com. 

Tegan Stanbach

Tegan Stanbach

14. February 2020

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